{"id":"W4379741991","doi":"10.29173/scancan246","title":"Einar Odd Mortensen Sr. with Gerd Kjustad Mortensen. The Fur Trader: From Oslo to Oxford House.","year":2023,"lang":"en","type":"article","venue":"Scandinavian-Canadian Studies","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0001836852,0.0004704986,0.0007699742,0.0002208615,0.00729037,0.0002226526,0.0004216208,0.00007558664,0.0003310686],"category_scores_gemma":[0.00006502243,0.000270092,0.0002796297,0.0005583242,0.0006689951,0.0001480946,0.000118484,0.0002859531,0.000651542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001473505,"about_ca_system_score_gemma":0.00007790275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2344524,"about_ca_topic_score_gemma":0.87047,"domain_scores_codex":[0.997364,0.00007460347,0.000399897,0.0006141607,0.0004962353,0.001051086],"domain_scores_gemma":[0.9984875,0.0001482925,0.0001150784,0.000439385,0.000302084,0.0005076488],"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":[0.00005036892,0.00003621271,0.003628585,0.00004070567,0.002931422,0.0006399426,0.4423823,0.00004985119,0.000008744073,0.008362588,0.5354464,0.006422895],"study_design_scores_gemma":[0.0003978683,0.0002563891,0.01094277,0.00009428487,0.0006352231,0.000005654039,0.179989,0.00001688917,0.000003335982,0.002062532,0.8048603,0.0007357408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8262292,0.005415879,0.000002786218,0.1608739,0.0008120681,0.0006472398,0.00037782,0.0004046095,0.005236429],"genre_scores_gemma":[0.9507378,0.003325571,0.00001976761,0.002596133,0.001275251,0.0001654422,0.00002835639,0.00007233051,0.04177937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6360177,"threshold_uncertainty_score":0.9999751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05975513297676723,"score_gpt":0.2429887916952687,"score_spread":0.1832336587185014,"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."}}