{"id":"W6925188279","doi":"10.17605/osf.io/2z5cu","title":"SLIDES Public Controversies and the Future of AI","year":2020,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Infections and bacterial resistance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interim; Outrage; Corporate governance; Section (typography); Social media; Government (linguistics); Digital media; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003218244,0.0005646648,0.0004438539,0.00168628,0.008802202,0.01633237,0.001134944,0.005567702,0.09676575],"category_scores_gemma":[0.01070676,0.000381857,0.0006616625,0.001587823,0.009155726,0.01029009,0.00453281,0.005649551,0.01589636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0187912,"about_ca_system_score_gemma":0.007558006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02511931,"about_ca_topic_score_gemma":0.02549253,"domain_scores_codex":[0.9972674,0.000578006,0.0001063643,0.0003573791,0.001188166,0.0005027583],"domain_scores_gemma":[0.9953126,0.001810779,0.0003372493,0.0003673643,0.001248251,0.0009238819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001442551,0.00001430718,0.0001042765,0.00005369617,0.000003505012,0.00005603218,0.00133753,0.0001022501,0.0001179362,0.1207645,0.8596205,0.01781115],"study_design_scores_gemma":[0.00000373193,0.000006261202,0.0002568769,0.0001850227,0.0000030806,0.00003557284,0.001317731,0.00006902864,0.00008142913,0.02144879,0.9765816,0.00001080484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002537393,0.02959307,0.0009534553,0.6198106,0.02532698,0.00002704536,0.0003435095,0.0002283833,0.3211797],"genre_scores_gemma":[0.1435063,0.02468403,0.001198546,0.08008391,0.04209656,0.00009332881,0.0009349829,0.0004508234,0.7069516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9911978,"threshold_uncertainty_score":0.3237137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006002546984618887,"score_gpt":0.2191306690110211,"score_spread":0.2131281220264022,"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."}}