{"id":"W4391597635","doi":"10.32920/25164539.v1","title":"Where Do We Go From Here: A Hudson’s Bay Company Case Study","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Subsidiary; Proxy (statistics); Parent company; Business; Management; Marketing; Geography; Archaeology; Finance; Economics; Computer science; Multinational corporation","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":[0.001943217,0.0003314385,0.0003703204,0.001158028,0.01101646,0.004735495,0.001613097,0.002027575,0.005403724],"category_scores_gemma":[0.003471791,0.0003079987,0.0002998052,0.003804749,0.004253977,0.002587504,0.002933456,0.002419653,0.0006362254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02893369,"about_ca_system_score_gemma":0.01675133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7790884,"about_ca_topic_score_gemma":0.8710966,"domain_scores_codex":[0.9979139,0.0009493474,0.00005850743,0.0001543042,0.0002815074,0.000642455],"domain_scores_gemma":[0.9975108,0.000840059,0.0001879831,0.00009976286,0.0006328599,0.0007285763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003069004,0.001082808,0.1650043,0.0005939153,0.00009357059,0.0430388,0.5188863,0.002099941,0.001628763,0.1101168,0.09639727,0.06075066],"study_design_scores_gemma":[0.00003199311,0.0000711937,0.02609028,0.0003643081,0.00002738973,0.000910776,0.8616577,0.0005915868,0.0004002464,0.001623615,0.1081963,0.00003461022],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9236346,0.002009922,0.0007364933,0.02008102,0.0001491483,0.0001767963,0.0005453867,0.00001892696,0.05264776],"genre_scores_gemma":[0.9734282,0.002131706,0.001334621,0.001994428,0.00003271158,0.00008878221,0.0002904642,0.00002387707,0.02067528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2209116,"threshold_uncertainty_score":0.4444252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05522176451310125,"score_gpt":0.3680497171939642,"score_spread":0.312827952680863,"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."}}