{"id":"W6886036885","doi":"10.14288/1.0222102","title":"British Columbia, its resources and capabilities. Reprinted from 'Canada : a memorial volume.'","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Exposition (narrative); Work (physics)","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":[0.0004033108,0.0007304957,0.000467281,0.00250535,0.00885817,0.007037607,0.00114845,0.001818092,0.07988668],"category_scores_gemma":[0.001834078,0.0007045842,0.0002888322,0.01088007,0.001708874,0.002433499,0.001599891,0.002687664,0.01503684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04377322,"about_ca_system_score_gemma":0.07477514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895443,"about_ca_topic_score_gemma":0.9974042,"domain_scores_codex":[0.9994339,0.00002552478,0.00002299528,0.00005380476,0.0002951303,0.0001686626],"domain_scores_gemma":[0.9987022,0.00008305612,0.00003823021,0.00005234962,0.0009268801,0.0001973901],"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":[0.000009164028,0.000002137599,0.0003938081,0.00009535258,0.000002596138,0.00004698947,0.0003908553,0.00003898794,0.0000294727,0.006605712,0.9765861,0.01579888],"study_design_scores_gemma":[0.000001814298,8.282195e-7,0.00340038,0.000115442,0.000003802463,0.00002332823,0.0008492745,0.00001185368,0.00003450838,0.0005492248,0.9950027,0.000006890863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0040889,0.1334595,0.0007195472,0.07134678,0.007787951,0.00005739972,0.04483501,0.0004457764,0.7372592],"genre_scores_gemma":[0.028835,0.02979792,0.0006244761,0.002823418,0.0003502646,0.00003021836,0.005826824,0.0001890419,0.9315228],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07988668,"threshold_uncertainty_score":0.3175984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574993303093836,"score_gpt":0.2183339378966619,"score_spread":0.2025840048657235,"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."}}