{"id":"W1576109306","doi":"10.1353/his.2015.0030","title":"East Coast, West Coast: Using Government Files to Study Immigration History","year":2015,"lang":"fr","type":"article","venue":"Histoire sociale","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; East coast; Government (linguistics); West coast; Geography; Oceanography; Political science; Archaeology; Geology; Physical geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00125452,0.000200954,0.0002602552,0.007225926,0.001841641,0.001899062,0.0009017676,0.0003767574,0.009580931],"category_scores_gemma":[0.01000384,0.0003945957,0.0001400667,0.02093455,0.0003900184,0.001071572,0.0009160741,0.0003750018,0.002438078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008014913,"about_ca_system_score_gemma":0.01659847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9419144,"about_ca_topic_score_gemma":0.9627932,"domain_scores_codex":[0.9992321,0.0001094132,0.0001087648,0.00007983676,0.0003126743,0.0001572863],"domain_scores_gemma":[0.9912924,0.00184952,0.001377131,0.0009508499,0.003904966,0.0006250732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002393701,0.00008402753,0.7788833,0.0004865021,0.00004911024,0.0007795249,0.02980565,0.0003493763,0.0005630063,0.00215056,0.09163118,0.09497841],"study_design_scores_gemma":[0.00002102308,0.00001673308,0.8401378,0.0003025605,0.00002213218,0.0001000302,0.04720545,0.0004472812,0.0003351773,0.0002172198,0.1111672,0.00002733154],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.625567,0.0009413596,0.0007040192,0.001588094,0.00005054933,0.0008380822,0.2961912,0.0002826648,0.07383701],"genre_scores_gemma":[0.7339484,0.002251891,0.006920973,0.0002678808,0.00002543982,0.001460911,0.2128184,0.0001921556,0.04211405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05808556,"threshold_uncertainty_score":0.1168552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04346048395172039,"score_gpt":0.2436890470352091,"score_spread":0.2002285630834887,"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."}}