{"meta":{"query_hash":"89212b4366ac","filters":{"venue":"ACM Transactions on Social Computing"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/89212b4366ac","api":"https://metacan.xera.ac/api/v1/cohort?venue=ACM+Transactions+on+Social+Computing"},"results":[{"id":"W3145226536","doi":"10.1145/3362741","title":"Help Me to Help You","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Social Computing","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Los Alamos National Laboratory; Science and Technology Facilities Council; Planetary Science Division; Science Mission Directorate; Smithsonian Astrophysical Observatory; Max-Planck-Institut für Astronomie; Queen's University; University of Edinburgh; Johns Hopkins University; Queen's University Belfast; National Aeronautics and Space Administration; Eötvös Loránd Tudományegyetem; National Central University; Central Laser Facility, Science and Technology Facilities Council; Space Telescope Science Institute; Durham University; Smithsonian Institution; National Science Foundation","keywords":"Citizen science; Leverage (statistics); MNIST database; Software deployment; Computer science; Competition (biology); Data science; Variety (cybernetics); Artificial intelligence; Machine learning; Deep learning; Software engineering","score_opus":0.03797441798776483,"score_gpt":0.2828596139350032,"score_spread":0.24488519594723837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145226536","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01521673,0.010459268,0.01714161,0.22178622,0.046585836,0.00084559113,0.0073634824,0.0148248365,0.6657764],"genre_scores_gemma":[0.029675595,0.0040145554,0.008553145,0.067062594,0.0029962724,0.0004050704,0.002691844,0.0018510913,0.8827498],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898237,0.00025587116,0.00003375073,0.00019209554,0.00032742124,0.00020852809],"domain_scores_gemma":[0.9943264,0.00046406104,0.00024939756,0.00036903925,0.0016800793,0.00291102],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010728043,0.0012065673,0.0006768694,0.0010291575,0.0032980524,0.0041387547,0.0011211392,0.0022318072,0.4815901],"category_scores_gemma":[0.013673694,0.00030235187,0.00061661564,0.0006384358,0.00080710364,0.0047604926,0.0045981677,0.0025839452,0.43470562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017621855,0.00003182976,0.0005164375,0.000066005465,0.0000036019014,0.00011133946,0.00048410174,0.000011085627,0.000107446045,0.0007623743,0.95670474,0.0411834],"study_design_scores_gemma":[0.0000069208536,0.000022747361,0.0004063711,0.000105461855,0.000004718928,0.00044487184,0.0013544974,0.000038665457,0.00009629979,0.0008022748,0.9967044,0.00001280694],"about_ca_topic_score_codex":0.0015078835,"about_ca_topic_score_gemma":0.0035601803,"teacher_disagreement_score":0.4815901,"about_ca_system_score_codex":0.00061695126,"about_ca_system_score_gemma":0.0014506177,"threshold_uncertainty_score":0.7394488},"labels":[],"label_agreement":null},{"id":"W4392121144","doi":"10.1145/3641510","title":"Combating Islamophobia: Compromise, Community, and Harmony in Mitigating Harmful Online Content","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Social Computing","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Waterloo; University of Toronto","funders":"","keywords":"Islamophobia; Moderation; Faith; Harmony (color); Compromise; Public relations; Sociology; Scholarship; Political science; Social psychology; Social science; Law; Psychology; Epistemology","score_opus":0.084079500959639,"score_gpt":0.3032594720689645,"score_spread":0.21917997110932547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392121144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8811182,0.00081389473,0.06295401,0.0065956675,0.00022515054,0.0011622858,0.00008775665,0.0010760176,0.04596697],"genre_scores_gemma":[0.95961887,0.00038922793,0.036252804,0.000631389,0.00006819228,0.00045202326,0.000045606692,0.00008140653,0.0024605629],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99426395,0.004196067,0.00019625819,0.00025191205,0.0007624782,0.00032927925],"domain_scores_gemma":[0.97900724,0.015375468,0.002187268,0.0014846319,0.0010726475,0.0008726244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006027257,0.00066274195,0.00023033952,0.0011633914,0.0024756193,0.003546591,0.0006748945,0.0008117778,0.0029250376],"category_scores_gemma":[0.028059518,0.00025360932,0.00028563093,0.00056311575,0.0019749666,0.00414483,0.0043374924,0.0012287052,0.0005120936],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004867194,0.0012368388,0.073526435,0.0025056915,0.00012374729,0.00088342483,0.2838887,0.00088904944,0.039287835,0.015659364,0.0053043524,0.57620776],"study_design_scores_gemma":[0.00023086544,0.0038361996,0.18718866,0.004053809,0.00066808326,0.0022396678,0.4379332,0.015438307,0.046783466,0.043313373,0.25795317,0.00036122094],"about_ca_topic_score_codex":0.00061298505,"about_ca_topic_score_gemma":0.0018744968,"teacher_disagreement_score":0.006027257,"about_ca_system_score_codex":0.00057044014,"about_ca_system_score_gemma":0.0012950136,"threshold_uncertainty_score":0.03187555},"labels":[],"label_agreement":null},{"id":"W4400245288","doi":"10.1145/3665450","title":"Social Media, Sentiments and Political Discourse – An Exploratory Study of the 2021 Canadian Federal Election","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Social Computing","topic":"Social Media and Politics","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Social media; Sentiment analysis; Politics; Negativity effect; Political science; Federal election; Public relations; Psychology; Social psychology; Computer science; Law; Artificial intelligence","score_opus":0.05570182194815562,"score_gpt":0.37468282572565453,"score_spread":0.31898100377749894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400245288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99183196,0.00016071927,0.00004668984,0.0010095971,0.000019961313,0.00011105785,0.0007010627,0.0000050305903,0.006113911],"genre_scores_gemma":[0.99269414,0.00032042657,0.00020848885,0.000577229,0.000028246051,0.00017294753,0.0007233737,0.000020737867,0.005254379],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99749845,0.00053089496,0.00007109598,0.00021927984,0.0008183702,0.00086186116],"domain_scores_gemma":[0.99417627,0.0019148312,0.0007703736,0.0001769269,0.001931372,0.0010303317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035018728,0.0005379913,0.0006303194,0.0039080093,0.01540011,0.0054382873,0.0014009171,0.0011825017,0.0035617407],"category_scores_gemma":[0.0098701855,0.000492294,0.00038250443,0.0051356675,0.003991425,0.0019883306,0.002536017,0.0020897444,0.00055530126],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023961651,0.00050580996,0.21268871,0.0001975501,0.0000426905,0.0011438181,0.7565331,0.00014761345,0.0011685491,0.0023942373,0.00843496,0.016503498],"study_design_scores_gemma":[0.00001088876,0.00007006253,0.2561347,0.00010245616,0.000014167233,0.00007359077,0.7245021,0.0002987287,0.00017537254,0.00014918733,0.018413836,0.00005497766],"about_ca_topic_score_codex":0.9691544,"about_ca_topic_score_gemma":0.9828803,"teacher_disagreement_score":0.042469557,"about_ca_system_score_codex":0.042469557,"about_ca_system_score_gemma":0.0351827,"threshold_uncertainty_score":0.30813968},"labels":[],"label_agreement":null}]}