{"id":"W4394963892","doi":"10.25071/180k9w08","title":"John Robarts: True to his own vision of Canada","year":2024,"lang":"en","type":"article","venue":"Canada Watch","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Optometry; Artificial intelligence; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00268206,0.0008589833,0.0007926422,0.002280655,0.02919509,0.01645466,0.001989394,0.008114267,0.02971382],"category_scores_gemma":[0.009374492,0.0005699011,0.0004937977,0.003584369,0.01276763,0.00740377,0.003406167,0.01343037,0.002641051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08028526,"about_ca_system_score_gemma":0.190953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913552,"about_ca_topic_score_gemma":0.9946002,"domain_scores_codex":[0.9955212,0.0005739699,0.0000742893,0.000431625,0.001741367,0.001657558],"domain_scores_gemma":[0.9918549,0.0006692138,0.0001411183,0.0001501589,0.004054354,0.003130095],"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":[0.00001627303,0.000007734508,0.0004730093,0.00003902617,0.000008815832,0.00008449888,0.003336585,0.00004812788,0.00004950436,0.07522245,0.9128558,0.007858179],"study_design_scores_gemma":[0.00000330695,0.000001999781,0.0006545971,0.0001243964,0.000006575076,0.00003254531,0.007714286,0.00002743574,0.00003858226,0.004995238,0.9863703,0.00003075515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002479641,0.03256726,0.0006956818,0.8126876,0.01995287,0.00002044918,0.0004697954,0.0001075643,0.1310191],"genre_scores_gemma":[0.1365086,0.04107457,0.001841053,0.2752396,0.004470688,0.00005588034,0.0003322246,0.0004941109,0.5399833],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08028526,"threshold_uncertainty_score":0.582513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004233108534070981,"score_gpt":0.2091401666256253,"score_spread":0.2049070580915543,"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."}}