{"id":"W6942463850","doi":"10.14288/1.0380638","title":"British Columbia History","year":2019,"lang":"en","type":"article","venue":"Open Collections","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Columbia university; Population; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004337167,0.0005671384,0.0005861008,0.001972647,0.01075477,0.007101474,0.0008037565,0.001753631,0.3041452],"category_scores_gemma":[0.001820356,0.0004705148,0.0002311687,0.003903907,0.002398638,0.001070095,0.001825256,0.002722201,0.05037879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03050162,"about_ca_system_score_gemma":0.03581332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.913044,"about_ca_topic_score_gemma":0.9722286,"domain_scores_codex":[0.9994076,0.00004714631,0.00001855741,0.00009824316,0.0002420725,0.0001862334],"domain_scores_gemma":[0.9991233,0.0000713879,0.00002578761,0.00009667666,0.0005028242,0.0001799343],"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":[0.0000202278,0.0000138892,0.001372168,0.0001285486,0.000008032401,0.0001257458,0.0006695231,0.00005418994,0.0002008905,0.01942703,0.9409894,0.03699032],"study_design_scores_gemma":[0.000001414791,0.000001295308,0.002716144,0.00009302426,0.00000271918,0.00001720457,0.0003505769,0.000008637312,0.00003280745,0.0003226616,0.996449,0.000004471023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00277836,0.01171611,0.00007730915,0.008127119,0.001972492,0.00004481108,0.002338744,0.00008082527,0.9728642],"genre_scores_gemma":[0.01042109,0.002720223,0.00007295905,0.001378353,0.0001272368,0.00001399166,0.0004730965,0.00004426401,0.9847488],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3041452,"threshold_uncertainty_score":0.9925525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307324873980381,"score_gpt":0.2183368336520413,"score_spread":0.2052635849122375,"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."}}