{"id":"W1846734537","doi":"10.25336/p6xp55","title":"Becoming British Columbia: A Population History","year":2010,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Columbia university; Population; Geography; Demography; History; Sociology; Media studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0009184761,0.000246043,0.0003537747,0.004030035,0.007743803,0.002586195,0.0009639848,0.0006924642,0.005465759],"category_scores_gemma":[0.002004552,0.0002831568,0.0001719163,0.01155588,0.002590387,0.001746895,0.001323979,0.001571844,0.0002786102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03676886,"about_ca_system_score_gemma":0.03970804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941059,"about_ca_topic_score_gemma":0.9979771,"domain_scores_codex":[0.9995055,0.00006847418,0.00002820364,0.0000714569,0.0001298852,0.0001964075],"domain_scores_gemma":[0.9977349,0.0001648265,0.0001376943,0.0000563983,0.001376576,0.0005295193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002560636,0.0002021308,0.4494037,0.0006462839,0.0001155259,0.00142336,0.1862788,0.0004677381,0.0012102,0.03297904,0.04473612,0.282281],"study_design_scores_gemma":[0.000006729576,0.00004003124,0.8235825,0.000411091,0.00005117984,0.0003561224,0.07128722,0.0001935586,0.0001612662,0.001098691,0.1027387,0.00007288482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9023637,0.02079605,0.0004389675,0.0130741,0.0001878083,0.00009215995,0.00331642,0.00002513714,0.05970577],"genre_scores_gemma":[0.9638332,0.01577122,0.000602498,0.001076815,0.00004283432,0.00002978915,0.001361047,0.00002006892,0.01726262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03676886,"threshold_uncertainty_score":0.2667779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03784135590216324,"score_gpt":0.2821206593357148,"score_spread":0.2442793034335516,"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."}}