{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"89212b4366ac","filters":{"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Darryl Wright","is_ca":false},{"name":"L. Fortson","is_ca":false},{"name":"Chris Lintott","is_ca":false},{"name":"Michael Laraia","is_ca":false},{"name":"Mike Walmsley","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03797441798776483,"gpt":0.2828596139350032,"spread":0.2448851959472384,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001391138,0.0001152635,0.0001259467,0.00002889559,0.0004261958,0.0000432176,0.0002756973,0.00006690724,0.03869316],"category_scores_gemma":[0.00001240848,0.0001235262,0.00009922729,0.0003628232,0.00004289835,0.00007616025,0.00003106459,0.0001518519,0.01154976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004167356,"about_ca_system_score_gemma":0.000005291194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001275472,"about_ca_topic_score_gemma":0.00007321995,"domain_scores_codex":[0.9989765,0.00003351848,0.0001470725,0.0002696858,0.0002771035,0.0002961316],"domain_scores_gemma":[0.999598,0.00004878954,0.00003701381,0.0002157172,0.00001039733,0.00009012228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002971849,0.001605701,0.04035915,0.00007904341,0.0001764773,0.00001777884,0.02396283,0.01138311,0.08889158,0.003193083,0.04133286,0.7887012],"study_design_scores_gemma":[0.003205993,0.0007213701,0.5984249,0.00008317515,0.0001056957,0.00002460066,0.04704473,0.001687593,0.02208081,0.0008175874,0.323552,0.002251544],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616089,0.000003595485,0.01351061,0.002538361,0.0004813707,0.0002233263,0.00003255159,0.0001392598,0.02146203],"genre_scores_gemma":[0.9972283,0.000002623388,0.0003598438,0.001161229,0.00006431479,0.000005295133,0.000008646202,0.00001342401,0.001156374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7864497,"threshold_uncertainty_score":0.9892198,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Mohammad Rashidujjaman Rifat","is_ca":true},{"name":"Ashratuz Zavin Asha","is_ca":true},{"name":"Shivesh Jadon","is_ca":true},{"name":"Xinyi Yan","is_ca":true},{"name":"Shion Guha","is_ca":true},{"name":"Syed Ishtiaque Ahmed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.084079500959639,"gpt":0.3032594720689645,"spread":0.2191799711093255,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007656961,0.0002183189,0.0002672629,0.0002482472,0.001241143,0.0004822092,0.0005720054,0.0001182781,0.000006702319],"category_scores_gemma":[0.00006061163,0.0002384422,0.000108299,0.0007621829,0.00008659343,0.0003473547,0.00008753261,0.001361358,0.00001360165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277908,"about_ca_system_score_gemma":0.00004963263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006070653,"about_ca_topic_score_gemma":0.0002341024,"domain_scores_codex":[0.9981711,0.0003768315,0.0004267452,0.0003880854,0.0002551159,0.0003821321],"domain_scores_gemma":[0.9987661,0.0006959588,0.00007503178,0.0003196716,0.00006490565,0.00007834952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001361427,0.0002890219,0.0001863158,0.0001655924,0.00007118526,0.00005473255,0.01509304,0.0007688287,0.007510732,0.001405655,0.00009365261,0.9743477],"study_design_scores_gemma":[0.002884187,0.0005728357,0.02062396,0.001784906,0.0000757428,0.0002103659,0.01077863,0.9358989,0.01398995,0.01067381,0.001099443,0.001407247],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6687754,0.0001150041,0.3267518,0.003028572,0.0005138158,0.0001858448,0.000008951828,0.000468047,0.000152578],"genre_scores_gemma":[0.9672447,0.00001792465,0.03202859,0.0005181942,0.0001107401,0.000007662897,0.000006439688,0.00002322831,0.00004245913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9729404,"threshold_uncertainty_score":0.972339,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Hiba Mohammad Noor","is_ca":true},{"name":"Ozgur Turetken","is_ca":true},{"name":"Mehmet Akgul","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05570182194815562,"gpt":0.3746828257256545,"spread":0.3189810037774989,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003203698,0.0001172468,0.0001641405,0.0001108122,0.003299252,0.0001602457,0.0002068887,0.0001446805,0.00004785166],"category_scores_gemma":[0.00009513678,0.0001117683,0.00009220859,0.0004666692,0.0003825773,0.0001581511,0.000009740933,0.0003684949,0.000005976613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003340518,"about_ca_system_score_gemma":0.000660223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06297909,"about_ca_topic_score_gemma":0.3388526,"domain_scores_codex":[0.9980495,0.0006042165,0.0002052505,0.0002204265,0.0004327744,0.0004878103],"domain_scores_gemma":[0.9992075,0.0003565977,0.00003836827,0.00009838189,0.0000762889,0.0002228711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001209073,0.0004087207,0.003053082,0.00002071373,0.0001513108,0.000009439473,0.8934522,0.000007260749,0.00006375511,0.02041246,0.0003182219,0.08209077],"study_design_scores_gemma":[0.0004433647,0.0000960186,0.008284973,0.00003825735,0.0001740209,0.000001202557,0.9819508,0.0001380354,0.0001674217,0.006978398,0.001446335,0.0002811605],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927272,0.00001870335,0.0001920334,0.004276165,0.001788592,0.0002524108,0.00002643395,0.00005435408,0.0006640591],"genre_scores_gemma":[0.9980209,0.000003092286,0.00002107115,0.000132147,0.001752047,0.000008780161,0.000002677808,0.00001784058,0.00004147528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2758735,"threshold_uncertainty_score":0.9979983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}