{"id":"W3201200727","doi":"","title":"캐나다 이민법상 주정부의 영주권 부여 참여에 관한 연구","year":2015,"lang":"ko","type":"article","venue":"비교법연구","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Citizenship; Immigration policy; Political science; Government (linguistics); Public administration; Immigration law; Economic growth; Refugee; Work (physics); Local government; Central government; Law; Economics; Politics","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":[0.0005363083,0.0001400943,0.000118169,0.001487468,0.006067127,0.002118384,0.0006110409,0.0003843762,0.002280944],"category_scores_gemma":[0.001575136,0.0001005669,0.0001796211,0.00254139,0.001650273,0.0006529201,0.0005554145,0.0007167903,0.0001922972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02891214,"about_ca_system_score_gemma":0.08937722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9675542,"about_ca_topic_score_gemma":0.9858986,"domain_scores_codex":[0.9994329,0.00007137026,0.00001748872,0.00003745479,0.0001709791,0.0002697791],"domain_scores_gemma":[0.9989167,0.0001592259,0.00008824526,0.00001837533,0.0006169886,0.0002004475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005805169,0.0001380171,0.1211096,0.001135203,0.00001932463,0.0008099797,0.03474796,0.003461572,0.000864263,0.5307443,0.1107393,0.1961725],"study_design_scores_gemma":[0.000005968932,0.00003549367,0.2343602,0.0009625063,0.00002209157,0.0001743709,0.04772169,0.001523716,0.0005680813,0.004790689,0.7097839,0.00005122141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3560119,0.04636919,0.006248394,0.06179674,0.001309216,0.000405004,0.001404036,0.0001009929,0.5263546],"genre_scores_gemma":[0.9015824,0.02966997,0.003040143,0.003793702,0.000178401,0.0001080403,0.0005311815,0.00001804327,0.06107801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03244579,"threshold_uncertainty_score":0.2097732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501039689302294,"score_gpt":0.3192445298546517,"score_spread":0.2842341329616287,"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."}}