{"id":"W2337249246","doi":"","title":"Preface - Canada (TDM CETA Special)","year":2016,"lang":"en","type":"article","venue":"TDM","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Business","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":[0.001714933,0.0009845425,0.00085766,0.003587565,0.006952471,0.008129149,0.001964703,0.004202635,0.2221671],"category_scores_gemma":[0.005781823,0.0005678356,0.0007970319,0.004220337,0.0009571193,0.002032273,0.00185928,0.00372423,0.0457795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03987233,"about_ca_system_score_gemma":0.06526954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8652838,"about_ca_topic_score_gemma":0.9256292,"domain_scores_codex":[0.9984125,0.00007242887,0.00006943403,0.0001982585,0.0008504393,0.0003970616],"domain_scores_gemma":[0.9915599,0.0002591882,0.0001689198,0.0002570804,0.006247525,0.001507391],"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":[0.000009408069,0.000004828148,0.00009278818,0.00003819761,0.000001031097,0.00001582455,0.0000217439,0.00002752449,0.00004793342,0.001787354,0.9931934,0.004759925],"study_design_scores_gemma":[0.000003789629,0.000003673742,0.001005662,0.00007502962,0.000002288465,0.00001818105,0.0001063847,0.00004422591,0.00005510874,0.0004991255,0.9981799,0.000006770812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0021267,0.02785128,0.001026984,0.1267375,0.3521226,0.0004711189,0.02281199,0.0009636775,0.4658881],"genre_scores_gemma":[0.009722264,0.005379252,0.0004691663,0.01061894,0.01476818,0.00009562437,0.003082906,0.000208503,0.955655],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2221671,"threshold_uncertainty_score":0.743223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241127115195969,"score_gpt":0.2429727159829822,"score_spread":0.2305614448310225,"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."}}