{"id":"W7084113141","doi":"10.64628/aam.r9a9easgp","title":"More than a department store: The long, complicated legacy behind Hudson’s Bay Company","year":2025,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bay; Plan (archaeology); Government (linguistics); Perspective (graphical)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005745968,0.0006728349,0.0006088629,0.001504555,0.01221493,0.01788849,0.001816646,0.007170666,0.1176841],"category_scores_gemma":[0.01699242,0.0007564422,0.000552624,0.001815868,0.005111209,0.01003316,0.005723065,0.0131328,0.03024039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00634724,"about_ca_system_score_gemma":0.01380099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07722623,"about_ca_topic_score_gemma":0.1169789,"domain_scores_codex":[0.9941837,0.0006660157,0.0002242738,0.0007597084,0.003087244,0.001079157],"domain_scores_gemma":[0.9735181,0.002849326,0.0008893071,0.001331513,0.006709895,0.01470177],"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":[0.00004526482,0.000072234,0.003024241,0.00002438415,0.000008939188,0.0002508096,0.0004656083,0.00003547656,0.0001483868,0.004797304,0.9551654,0.03596205],"study_design_scores_gemma":[0.00002211363,0.00005577942,0.003461533,0.0001649795,0.00001144067,0.0004850646,0.003692011,0.0001387004,0.0001393172,0.002206214,0.9895663,0.00005659409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01095779,0.007356752,0.001424399,0.8709291,0.02198135,0.00003504798,0.0005582705,0.0007693889,0.08598786],"genre_scores_gemma":[0.1052729,0.0110414,0.003739765,0.3407319,0.01351825,0.00005290053,0.000817001,0.00141187,0.5234141],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9227738,"threshold_uncertainty_score":0.3936925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076468202642558,"score_gpt":0.3036255600839144,"score_spread":0.2828608780574889,"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."}}