{"id":"W6923803478","doi":"10.14288/1.0380631","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":["insufficient_payload"],"category_scores_codex":[0.000402233,0.0005496952,0.0005662963,0.001902741,0.01052008,0.006937498,0.0007838274,0.001702218,0.2995916],"category_scores_gemma":[0.001715525,0.0004600074,0.0002246825,0.003865557,0.002366177,0.0009845907,0.001755769,0.002683529,0.05044643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03066932,"about_ca_system_score_gemma":0.03597713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9216915,"about_ca_topic_score_gemma":0.9762496,"domain_scores_codex":[0.9994584,0.00004200873,0.00001684626,0.0000893216,0.0002229562,0.0001706371],"domain_scores_gemma":[0.9991845,0.00006954806,0.00002440494,0.00008672723,0.0004654369,0.0001692433],"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":[0.00002116032,0.00001415007,0.001521088,0.0001333817,0.000008519088,0.0001342669,0.0006789733,0.00005668788,0.0002187468,0.01858814,0.9417555,0.03686935],"study_design_scores_gemma":[0.000001573011,0.000001389105,0.003153528,0.0001009745,0.000002976182,0.00001814801,0.0003820616,0.000009679648,0.00003747924,0.0003383824,0.995949,0.000004827201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002900535,0.01098013,0.00007373973,0.007458701,0.001701986,0.00004347596,0.002429525,0.00007949903,0.9743325],"genre_scores_gemma":[0.01076243,0.00256637,0.00007104911,0.001318168,0.0001114827,0.00001396939,0.0004836456,0.0000430399,0.9846298],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7004085,"threshold_uncertainty_score":0.9990476,"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."}}