{"id":"W1166251872","doi":"","title":"A Geographical Look at the Fur Trade in Canada","year":2013,"lang":"en","type":"article","venue":"山西青年：下半月","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fur trade; Geography; International trade; 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":[0.0002576389,0.0002409117,0.0002223513,0.006760431,0.007602822,0.005408863,0.0007767214,0.0005214489,0.008642903],"category_scores_gemma":[0.001308037,0.0002097492,0.0004799915,0.0222274,0.002517504,0.001192602,0.001311165,0.0007946758,0.0005205247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04695057,"about_ca_system_score_gemma":0.0397812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965866,"about_ca_topic_score_gemma":0.9989774,"domain_scores_codex":[0.9993966,0.00004250453,0.00001496955,0.00005076392,0.0002159596,0.0002792125],"domain_scores_gemma":[0.9988981,0.000100141,0.000112155,0.00002353054,0.0007107445,0.000155207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003858143,0.0001023467,0.4304959,0.0008695227,0.0001651626,0.005151565,0.04306284,0.01531771,0.002787644,0.2781222,0.0551174,0.1684219],"study_design_scores_gemma":[0.00001262537,0.00003312656,0.6122323,0.0004538458,0.0000656262,0.0007438583,0.08362833,0.002375326,0.0003382588,0.006857075,0.2931645,0.00009508754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.671931,0.01642002,0.001268258,0.008471145,0.0001581097,0.00005706417,0.005835132,0.00006264583,0.2957966],"genre_scores_gemma":[0.9655699,0.005953524,0.0006893134,0.0003380061,0.0000364637,0.000007772378,0.0007796577,0.00003400464,0.02659135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04695057,"threshold_uncertainty_score":0.3406518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008139971710273496,"score_gpt":0.1372877318523077,"score_spread":0.1291477601420342,"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."}}