{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002208181,0.001691171,0.0009714743,0.002938204,0.004986777,0.005736838,0.001564635,0.003260911,0.1973676],"category_scores_gemma":[0.005810675,0.001133305,0.0004832107,0.005269771,0.001683548,0.006010249,0.004061914,0.003829301,0.1070787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004864471,"about_ca_system_score_gemma":0.004866801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1223042,"about_ca_topic_score_gemma":0.3272136,"domain_scores_codex":[0.9978498,0.0002949771,0.0001551282,0.0003649091,0.00110589,0.0002292686],"domain_scores_gemma":[0.9955663,0.0009661582,0.0004770528,0.000123936,0.001960884,0.0009056614],"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":[0.00001126712,0.000002150324,0.00004959305,0.00009249301,0.000001122255,0.00001545102,0.0001934969,0.000004404013,0.00001749249,0.0004774937,0.9887893,0.01034558],"study_design_scores_gemma":[0.000002799774,0.00000452803,0.0005529536,0.0004134789,0.00000287854,0.00005132769,0.000799493,0.00000560514,0.00002430588,0.0002370624,0.9978975,0.000008059356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0004341449,0.7268217,0.0003877759,0.1548384,0.03299068,0.00004611613,0.001744758,0.0002586127,0.08247778],"genre_scores_gemma":[0.005761958,0.2060189,0.0005773837,0.01566652,0.00658019,0.0000725858,0.0007052807,0.000366351,0.7642508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8776959,"threshold_uncertainty_score":0.6602603,"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."}}