{"id":"W4213025974","doi":"10.1145/3512297","title":"A call to action","year":2022,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Action (physics); Computer science; Call to action; Computer security; Telecommunications; Business; Advertising","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0009322532,0.00002174151,0.00004351627,0.00002368384,0.002194475,0.00002162736,0.01472024,0.00001978279,0.00005113281],"category_scores_gemma":[0.01539873,0.0000197327,0.00004552766,0.0003249328,0.0002014965,0.00006279516,0.0122742,0.0002124928,0.000006714818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009804203,"about_ca_system_score_gemma":0.0001603015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004691689,"about_ca_topic_score_gemma":0.005049493,"domain_scores_codex":[0.9991575,0.0004333502,0.0000777732,0.00004075196,0.0002129046,0.00007770983],"domain_scores_gemma":[0.9919497,0.0003020782,0.00005902481,0.007545411,0.0001081041,0.00003568279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001039546,0.0002430498,0.002518992,0.000004026986,0.00003043493,5.67522e-8,0.1241159,0.000155506,0.0020092,0.5631745,0.3001396,0.007598314],"study_design_scores_gemma":[0.00004694995,0.00001932182,0.003682294,0.000004359933,0.000008434537,1.244328e-7,0.01565787,0.000007305513,0.00007662131,0.2249254,0.755524,0.00004734599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08816475,0.0001172239,0.000003329144,0.8301184,0.0002015356,0.0001917966,0.00001067609,0.00002297409,0.08116937],"genre_scores_gemma":[0.993058,0.000113523,0.003467751,0.00154936,0.00002168236,0.00002589988,0.000001194656,0.000003190705,0.001759416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9048932,"threshold_uncertainty_score":0.9991046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2632321721345409,"score_gpt":0.4814252400981633,"score_spread":0.2181930679636225,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}