{"id":"W1795037496","doi":"","title":"A missing candidate","year":2001,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commons; House of Commons; Computer science; Federal election; Medicine; World Wide Web; Information retrieval; Political science; Law; Politics","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":[],"consensus_categories":[],"category_scores_codex":[0.005879051,0.0005583485,0.001198783,0.003203045,0.01096841,0.005137308,0.001774428,0.004784016,0.2797681],"category_scores_gemma":[0.03572024,0.000608353,0.0008101113,0.003208906,0.001279873,0.00460777,0.00436341,0.005327569,0.121029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003635049,"about_ca_system_score_gemma":0.01187415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01249256,"about_ca_topic_score_gemma":0.02588419,"domain_scores_codex":[0.9937842,0.001074197,0.0004173255,0.0006382344,0.00246518,0.001620827],"domain_scores_gemma":[0.9799912,0.003297887,0.001001519,0.001679477,0.01007398,0.003955927],"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":[0.00003749559,0.00001581752,0.0003323673,0.00006037056,0.000002137069,0.0005052356,0.0002941838,0.000008849875,0.00006005078,0.006033437,0.973734,0.01891619],"study_design_scores_gemma":[0.00001130861,0.00002345209,0.000712767,0.0002617511,0.000007579496,0.0008351815,0.001030433,0.00003197475,0.0001274919,0.002526018,0.9944139,0.0000181784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009066557,0.004812019,0.003999008,0.3026803,0.09353003,0.000319933,0.01393134,0.001290499,0.5703703],"genre_scores_gemma":[0.05226929,0.004349157,0.005182277,0.1137241,0.01310132,0.0003135105,0.009011439,0.001231741,0.8008172],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9875075,"threshold_uncertainty_score":0.9359177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662964251033874,"score_gpt":0.2203899076262857,"score_spread":0.203760265115947,"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."}}