{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004325549,0.00005086775,0.0001478628,0.0004058083,0.001140981,0.000235279,0.0001121377,0.0001372353,0.0008978226],"category_scores_gemma":[0.0006286434,0.0001191307,0.00004037907,0.0002412847,0.0003200518,0.0003012134,0.0000112454,0.0002144883,0.00002045128],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008998611,"about_ca_system_score_gemma":0.0006695681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9998899,"about_ca_topic_score_gemma":0.9999998,"domain_scores_codex":[0.9990191,0.00006604247,0.0002127751,0.0001996786,0.0001716683,0.000330686],"domain_scores_gemma":[0.9994529,0.00003631193,0.00006985402,0.0001207415,0.00007435299,0.0002458463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000122817,0.00001236079,0.7956227,0.00002401399,0.00001670268,0.00006977378,0.01550553,0.000005722523,0.000004645608,0.006751373,0.1394138,0.04257222],"study_design_scores_gemma":[0.00007795901,0.000002251667,0.5244622,0.0000188041,0.000005655646,0.000001824228,0.001255068,0.000006408553,6.087385e-9,0.001200665,0.4728695,0.00009970905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97227,0.001349832,5.769443e-7,0.0003837491,0.004857797,0.0002319086,0.00001704883,0.0000426672,0.02084641],"genre_scores_gemma":[0.9867511,0.0001331743,0.00009770416,0.0002827558,0.0003838253,0.00002191914,0.00003338731,0.00001152537,0.0122846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3334558,"threshold_uncertainty_score":0.9948057,"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."}}