{"id":"W7098807271","doi":"","title":"Means of Negotiation in the Canadian Fur Trade","year":2016,"lang":"en","type":"article","venue":"","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Fur trade; Negotiation; Bay; Frontier; Aside","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":[0.003795687,0.0003443813,0.0002450429,0.002153634,0.02759257,0.01193804,0.001693635,0.002465032,0.01691426],"category_scores_gemma":[0.008934041,0.0003013964,0.000237706,0.002839442,0.02581718,0.003243524,0.007727439,0.002789239,0.0004490787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05767261,"about_ca_system_score_gemma":0.04120344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7889191,"about_ca_topic_score_gemma":0.8446738,"domain_scores_codex":[0.9942352,0.001490515,0.0001258176,0.0005304835,0.001273335,0.002344602],"domain_scores_gemma":[0.9957332,0.001541212,0.0006225463,0.00026281,0.0008215346,0.001018645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000806154,0.00007002129,0.02706868,0.00008021813,0.00001987522,0.001576298,0.3589081,0.0007860958,0.0009181415,0.5659197,0.005029248,0.03954301],"study_design_scores_gemma":[0.00005129267,0.00005114056,0.0408948,0.0002858955,0.00002710233,0.0005611491,0.5375334,0.002105829,0.0005547057,0.07326892,0.3445589,0.000106822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4642127,0.0005671851,0.002411545,0.007208602,0.0000591634,0.00007340051,0.00005495908,0.00002898049,0.5253834],"genre_scores_gemma":[0.9929411,0.00007230409,0.0002169262,0.0001746321,0.000005746621,0.000009817777,0.000007368682,0.000005015764,0.00656709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2110809,"threshold_uncertainty_score":0.424648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100049648540055,"score_gpt":0.1691053818258618,"score_spread":0.1591004169718563,"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."}}