{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"b520202a3f74","filters":{"venue":"Communication Methods and Measures"}},"results":[{"id":"W1993622524","doi":"10.1080/19312458.2012.679243","title":"No Such Effect? The Implications of Measurement Error in Self-Report Measures of Mobile Communication Use","year":2012,"lang":"en","type":"article","venue":"Communication Methods and Measures","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":160,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mobile phone; Computer science; Phone; Android (operating system); Mobile telephony; Proxy (statistics); Observational error; Statistics; Psychology; Internet privacy; Telecommunications; Mobile radio; Mathematics; Machine learning","authors":[{"name":"Tetsuro Kobayashi","is_ca":false},{"name":"Jeffrey Boase","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1524992427688708,"gpt":0.4542355187364937,"spread":0.301736275967623,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2042595,0.0008289377,0.00146471,0.001340477,0.001196337,0.002114718,0.002839969,0.00272413,0.003760376],"category_scores_gemma":[0.4602354,0.0007046608,0.002108619,0.001434895,0.006601066,0.006891831,0.002789867,0.003778092,0.0005421268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113657,"about_ca_system_score_gemma":0.001670342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004003184,"about_ca_topic_score_gemma":0.003740262,"domain_scores_codex":[0.8291428,0.1139824,0.01426656,0.0237818,0.01683941,0.001986891],"domain_scores_gemma":[0.362166,0.5443486,0.03824211,0.03910489,0.01480407,0.001334282],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002158468,0.0006626279,0.7590749,0.002531704,0.005876902,0.0008228609,0.009627181,0.001665289,0.001560603,0.04047247,0.01214537,0.1634016],"study_design_scores_gemma":[0.0005857288,0.002220421,0.8422093,0.003111862,0.003030048,0.002080308,0.008646004,0.009797677,0.004825362,0.08811769,0.03503759,0.0003379375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6224468,0.02747368,0.2013329,0.0953295,0.00885089,0.001683951,0.003420094,0.000715958,0.03874636],"genre_scores_gemma":[0.9419444,0.001562917,0.03632816,0.0160476,0.001173792,0.0006560411,0.0004315427,0.0001478766,0.001707757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7957405,"threshold_uncertainty_score":0.9812897,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2337183287","doi":"10.1080/19312458.2016.1150975","title":"Augmenting Survey and Experimental Designs with Digital Trace Data","year":2016,"lang":"en","type":"article","venue":"Communication Methods and Measures","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"TRACE (psycholinguistics); Computer science; Reliability (semiconductor); Data science; Survey research; Information retrieval; Psychology","authors":[{"name":"Jeffrey Boase","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6507050796077433,"gpt":0.5561634394579629,"spread":0.09454164014978039,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5686081,0.003144288,0.003580153,0.007260599,0.003050111,0.01319503,0.007535096,0.00719715,0.00517298],"category_scores_gemma":[0.806125,0.003447247,0.003293159,0.01026182,0.01757449,0.02925263,0.01575054,0.006549461,0.00118477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006350917,"about_ca_system_score_gemma":0.01284912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00192843,"about_ca_topic_score_gemma":0.002586345,"domain_scores_codex":[0.1731674,0.7730356,0.01626998,0.008238033,0.02780619,0.001482742],"domain_scores_gemma":[0.05640678,0.8503673,0.02304556,0.05698565,0.01256512,0.0006295833],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002051074,0.00395758,0.04090244,0.01530743,0.003278416,0.0004297652,0.03375241,0.009624834,0.001970828,0.4777361,0.006299104,0.4046901],"study_design_scores_gemma":[0.003534012,0.01153129,0.02105801,0.01023959,0.002437259,0.0007824851,0.01404373,0.04646821,0.01173177,0.7728555,0.1044748,0.000843365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03671464,0.002827442,0.9209855,0.01381787,0.001613686,0.01073469,0.0003516107,0.0004465175,0.01250794],"genre_scores_gemma":[0.1914704,0.001837936,0.7710662,0.004771854,0.0007050793,0.02899379,0.0001576417,0.00008832142,0.000908851],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4313919,"threshold_uncertainty_score":0.531983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2065026833","doi":"10.1080/19312450902809367","title":"Challenges in Evaluating Health Communication Campaigns: Defining the Issues","year":2009,"lang":"en","type":"article","venue":"Communication Methods and Measures","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Memorial University of Newfoundland","keywords":"Health communication; Outcome (game theory); Computer science; Point (geometry); Management science; Strengths and weaknesses; Field (mathematics); Psychology; Public relations; Political science; Social psychology; Engineering; Mathematics","authors":[{"name":"Seth M. Noar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5166071804332749,"gpt":0.5268431649445076,"spread":0.01023598451123264,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.7703251,0.003029784,0.006494614,0.007875954,0.00674823,0.02334382,0.01004691,0.01448845,0.002984317],"category_scores_gemma":[0.8338431,0.002401605,0.003763023,0.009768555,0.02974352,0.03079326,0.01317085,0.01129815,0.001244111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01578192,"about_ca_system_score_gemma":0.03980518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008566721,"about_ca_topic_score_gemma":0.008427409,"domain_scores_codex":[0.1495302,0.7401043,0.05517539,0.005659238,0.04751743,0.002013403],"domain_scores_gemma":[0.06691225,0.8612272,0.01802064,0.01329742,0.03884106,0.001701511],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001115548,0.001399269,0.01942483,0.0316014,0.00107599,0.0002713781,0.03791256,0.002489788,0.0007313029,0.106377,0.01689255,0.7807085],"study_design_scores_gemma":[0.002002389,0.01020676,0.05266646,0.1713744,0.002444291,0.00145686,0.103665,0.01700512,0.008905702,0.4722188,0.1569957,0.001058545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.05863135,0.1470126,0.2626083,0.4329425,0.01062102,0.0305087,0.001240531,0.0005996997,0.05583536],"genre_scores_gemma":[0.3780883,0.03511189,0.4975591,0.03267956,0.004543256,0.04963893,0.000306258,0.0002871001,0.001785668],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7703251,"threshold_uncertainty_score":0.2832301,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405758937","doi":"10.1080/19312458.2024.2443396","title":"Automated object detection in mobile eye-tracking research: comparing manual coding with tag detection, shape detection, matching, and machine learning","year":2024,"lang":"en","type":"article","venue":"Communication Methods and Measures","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Mount Royal University","funders":"Office of the Vice President for Research, University of Minnesota","keywords":"Computer science; Artificial intelligence; Object detection; Computer vision; Coding (social sciences); Eye tracking; Matching (statistics); Pattern recognition (psychology); Machine learning; Mathematics","authors":[{"name":"Claire M. Segijn","is_ca":false},{"name":"Pernu Menheer","is_ca":false},{"name":"Garim Lee","is_ca":false},{"name":"Eunah Kim","is_ca":true},{"name":"David Olsen","is_ca":false},{"name":"Alicia Hofelich Mohr","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1041294768580692,"gpt":0.427102956582468,"spread":0.3229734797243988,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03242577,0.001125569,0.001221282,0.004614793,0.000834436,0.003725174,0.002098631,0.002425859,0.001303478],"category_scores_gemma":[0.1507623,0.0006881561,0.0009063217,0.002267918,0.001479587,0.005923484,0.002341286,0.001058417,0.0006074691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577058,"about_ca_system_score_gemma":0.001340458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004297531,"about_ca_topic_score_gemma":0.006662698,"domain_scores_codex":[0.9631792,0.02151596,0.002585907,0.003170929,0.008686699,0.0008613136],"domain_scores_gemma":[0.8147218,0.1321227,0.01821154,0.01179311,0.02209896,0.001051966],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004349029,0.0009177934,0.1002556,0.002980428,0.001439636,0.0001474508,0.004138229,0.006878236,0.03516827,0.004795713,0.002994442,0.8359351],"study_design_scores_gemma":[0.001138702,0.009852376,0.634192,0.002103137,0.001434783,0.002324378,0.00537973,0.2094747,0.09201062,0.02547524,0.01539712,0.001217329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7136556,0.005441842,0.2634037,0.001328902,0.0006625191,0.002132742,0.0004811807,0.001454272,0.01143927],"genre_scores_gemma":[0.8181776,0.001095237,0.1769525,0.0006387256,0.0002352082,0.001162117,0.0002932913,0.0001756093,0.001269696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9675742,"threshold_uncertainty_score":0.171486,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414592186","doi":"10.1080/19312458.2025.2553300","title":"Can we use automated approaches to measure the quality of online political discussion? How to (not) measure interactivity, diversity, rationality, and incivility in online comments to the news","year":2025,"lang":"en","type":"article","venue":"Communication Methods and Measures","topic":"Social Media and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute on Governance","funders":"HORIZON EUROPE Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit van Amsterdam","keywords":"Measure (data warehouse); Incivility; Quality (philosophy); Politics; Online discussion; Social media","authors":[{"name":"Sjoerd Stolwijk","is_ca":true},{"name":"Mark Boukes","is_ca":false},{"name":"Wang Ngai Yeung","is_ca":false},{"name":"Simon Münker","is_ca":false},{"name":"Anne C. Kroon","is_ca":false},{"name":"Damian Trilling","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4258519463549308,"gpt":0.4986163016741679,"spread":0.07276435531923703,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04780608,0.00144016,0.001242571,0.00911101,0.001146962,0.00919591,0.002128323,0.002025343,0.00335932],"category_scores_gemma":[0.2742824,0.000793509,0.001065731,0.005976015,0.002581642,0.01136747,0.003169652,0.002188497,0.003211391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433534,"about_ca_system_score_gemma":0.002002705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004137833,"about_ca_topic_score_gemma":0.006716023,"domain_scores_codex":[0.934313,0.04652752,0.002911611,0.005163935,0.01005279,0.001031007],"domain_scores_gemma":[0.5644036,0.2726449,0.05939028,0.05776097,0.04227343,0.003526706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005472297,0.000500311,0.5159387,0.0009029974,0.001042402,0.00006741402,0.006215807,0.00764811,0.002351254,0.007014704,0.00804565,0.4497254],"study_design_scores_gemma":[0.0003386955,0.001505919,0.5724986,0.001311013,0.0005470559,0.0005418026,0.01543146,0.2442932,0.01676036,0.1147065,0.03103201,0.001033389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6546071,0.003093461,0.2870572,0.01036654,0.0009478217,0.001042401,0.004862522,0.003443643,0.03457939],"genre_scores_gemma":[0.9214564,0.0003959422,0.07446104,0.0006526702,0.0002770813,0.0004895318,0.0009148423,0.0001692075,0.001183364],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04780608,"threshold_uncertainty_score":0.2528257,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}