{"id":"W4382355891","doi":"10.1177/20539517231171053","title":"Prediction as extraction of discretion","year":2023,"lang":"en","type":"article","venue":"Big Data & Society","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Discretion; Officer; Predictive power; Productivity; Redistribution (election); Power (physics); Focus (optics); Work (physics); Sociology; Computer science; Economics; Law; Political science; Epistemology; Engineering; Politics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009936302,0.0008253622,0.0006706649,0.002363488,0.002244435,0.008238112,0.002080091,0.002407745,0.007219027],"category_scores_gemma":[0.02678373,0.0005738318,0.001285344,0.001910996,0.02486996,0.01644013,0.006445965,0.003616278,0.001506606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003687093,"about_ca_system_score_gemma":0.003113796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003080218,"about_ca_topic_score_gemma":0.001462632,"domain_scores_codex":[0.9904402,0.003888113,0.0005531675,0.002179271,0.002221101,0.0007180823],"domain_scores_gemma":[0.9726062,0.01659761,0.002386046,0.005751279,0.001836043,0.0008228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000171416,0.00001358979,0.001144793,0.00005190289,0.00001331696,0.00005201438,0.00123541,0.002957357,0.0001762496,0.9838906,0.0008140026,0.009633703],"study_design_scores_gemma":[0.000008205709,0.00001470777,0.0004730427,0.00006338083,0.000009916672,0.00005345734,0.0002001856,0.008136937,0.0003710468,0.9783748,0.0122762,0.0000182211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04075014,0.002926428,0.7156686,0.02349367,0.0004047918,0.0001758622,0.0004991975,0.0004925561,0.2155888],"genre_scores_gemma":[0.9200632,0.001310199,0.06446753,0.001417458,0.0004166249,0.000296075,0.0003608096,0.0002176717,0.01145033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009936302,"threshold_uncertainty_score":0.05254883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3282374062916354,"score_gpt":0.445609573196359,"score_spread":0.1173721669047236,"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."}}