{"id":"W4235017088","doi":"10.4095/301332","title":"Location of study inside Canada, different province or territory than province or territory of residence, 2006 (by census division)","year":2010,"lang":"en","type":"report","venue":"","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Residence; Geography; Division (mathematics); Socioeconomics; Archaeology; Physical geography; Demography; Population; Sociology","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":[0.0002872115,0.0003479129,0.0003557374,0.002013834,0.002856921,0.001135567,0.0008801935,0.0002018184,0.007653711],"category_scores_gemma":[0.001675969,0.0003120393,0.0003513842,0.00604154,0.0003685981,0.0004236085,0.0006648939,0.0005661324,0.001975832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01189978,"about_ca_system_score_gemma":0.0413243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922389,"about_ca_topic_score_gemma":0.9967182,"domain_scores_codex":[0.9993771,0.00002936418,0.0000332086,0.00006992255,0.00026713,0.0002233024],"domain_scores_gemma":[0.9978778,0.00005268716,0.0002259718,0.00004987064,0.001384083,0.0004095231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001500795,0.000148025,0.8261803,0.0003340013,0.00006348985,0.0003381891,0.002458253,0.0004828665,0.0005408733,0.0005340931,0.14218,0.02658987],"study_design_scores_gemma":[0.00001810751,0.00003205495,0.9683664,0.0001408841,0.00002107297,0.00009924248,0.00341756,0.0001426145,0.0001911907,0.00003192057,0.02752482,0.00001401299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3985382,0.00121747,0.000744339,0.0008344967,0.0001300782,0.001084523,0.5247651,0.0001549989,0.07253078],"genre_scores_gemma":[0.7349058,0.003729435,0.002161109,0.0006594463,0.00007955794,0.001001218,0.1782085,0.00009744102,0.07915744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01189978,"threshold_uncertainty_score":0.08633935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1398536810851076,"score_gpt":0.4371361849694346,"score_spread":0.297282503884327,"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."}}