{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03606773,0.001401643,0.001615328,0.001642702,0.01652305,0.02046155,0.003913768,0.03992499,0.02535962],"category_scores_gemma":[0.06330145,0.0006570597,0.001518379,0.001019068,0.06140974,0.03610413,0.01645391,0.05088395,0.008828358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007824365,"about_ca_system_score_gemma":0.03505738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008855219,"about_ca_topic_score_gemma":0.01350909,"domain_scores_codex":[0.964574,0.02306556,0.0009450647,0.002669228,0.005351237,0.003394887],"domain_scores_gemma":[0.9251167,0.0383899,0.002506939,0.006271231,0.01000905,0.01770617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006014333,0.00009312942,0.000350778,0.0003724143,0.00003862466,0.0002607991,0.01379725,0.0001473427,0.0002329287,0.245156,0.6964079,0.04308281],"study_design_scores_gemma":[0.00002066835,0.00002594948,0.0002218164,0.0009847826,0.00001350861,0.0001684957,0.02143829,0.00009942386,0.0001221948,0.1739064,0.8029492,0.00004920815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004273826,0.006709056,0.001458573,0.9665055,0.008355805,0.0000159264,0.00002201395,0.00009271561,0.01641297],"genre_scores_gemma":[0.07389895,0.01055135,0.006074109,0.8702241,0.007778478,0.0002277358,0.00007220226,0.0003208899,0.0308522],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03992499,"threshold_uncertainty_score":0.1907467,"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."}}