{"id":"W4255664808","doi":"10.1503/cmaj.171031","title":"Parentheses","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Literature, Musicology, and Cultural Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lightness; Computer science; Art history; Art; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001471927,0.00106345,0.0006315401,0.001541373,0.003695106,0.005817943,0.001578536,0.001935725,0.5564035],"category_scores_gemma":[0.01102586,0.0004231792,0.0005954187,0.00150809,0.001273279,0.004639152,0.002978092,0.002928032,0.4644564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189574,"about_ca_system_score_gemma":0.001500464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004234228,"about_ca_topic_score_gemma":0.004372918,"domain_scores_codex":[0.9982262,0.0003751466,0.0001082987,0.0004310496,0.0006359174,0.0002234063],"domain_scores_gemma":[0.9962843,0.0006210281,0.0002430257,0.0005154957,0.001914796,0.0004214276],"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":[0.00006164058,0.00001217513,0.0002099766,0.00009344904,0.000003364639,0.00009788781,0.0007542602,0.00002456228,0.0003098908,0.03018869,0.9365783,0.03166564],"study_design_scores_gemma":[0.000002976739,0.000004784267,0.0001277467,0.00005799797,0.000001255242,0.00008059688,0.0002347344,0.00001799279,0.0001202929,0.002029131,0.9973177,0.000004859803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001794352,0.00269888,0.005450989,0.02487502,0.02219861,0.0001852391,0.006454335,0.002182764,0.9341598],"genre_scores_gemma":[0.01554137,0.001923243,0.00289414,0.00899002,0.003495122,0.0001433896,0.004987002,0.001969045,0.9600566],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5564035,"threshold_uncertainty_score":0.6327366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635682173899909,"score_gpt":0.2777008923201932,"score_spread":0.2613440705811941,"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."}}