{"id":"W3008193969","doi":"10.26522/ssj.v13i2.2253","title":"Mind the Tracks","year":2020,"lang":"en","type":"article","venue":"Studies in Social Justice","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Political science; Psychology; Law and economics; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001238269,0.0004050419,0.0003047681,0.001283709,0.007857591,0.01295819,0.0009868949,0.003006229,0.1838269],"category_scores_gemma":[0.005759952,0.0003491482,0.0003969436,0.001121022,0.00380403,0.009749483,0.005358508,0.004794516,0.06732625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003297504,"about_ca_system_score_gemma":0.006045765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01726018,"about_ca_topic_score_gemma":0.03369546,"domain_scores_codex":[0.9986187,0.0002876711,0.00003362653,0.0002713046,0.000452166,0.0003365571],"domain_scores_gemma":[0.9971999,0.0002733374,0.0001140153,0.0004268645,0.0008161942,0.00116966],"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":[0.00004714731,0.00004183554,0.001132879,0.00004474264,0.00000970945,0.00006226858,0.003187595,0.00007845362,0.0003432336,0.3690425,0.552144,0.07386567],"study_design_scores_gemma":[0.000004493873,0.00001025019,0.0003068307,0.00004496833,0.000002392859,0.00001952461,0.001751143,0.00003779562,0.00007955909,0.03474337,0.9629939,0.000005733014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002970093,0.000994359,0.003863773,0.04535376,0.00602632,0.00003973614,0.0003868304,0.0003518257,0.9400134],"genre_scores_gemma":[0.05310801,0.000879969,0.001600054,0.01000979,0.0009035569,0.00004067899,0.0003257336,0.0003397522,0.9327923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1838269,"threshold_uncertainty_score":0.6149622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1496040777029828,"score_gpt":0.3413288192934832,"score_spread":0.1917247415905005,"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."}}