{"id":"W2587847431","doi":"","title":"Case Comment: Baker v. Canada (Minister of Citizenship and Immigration)","year":2000,"lang":"en","type":"article","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Immigration; Political science; Law; Public administration; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005872881,0.00006890474,0.0001622341,0.00003730006,0.002397158,0.00004102131,0.0001078992,0.00007280015,0.0002431358],"category_scores_gemma":[0.0001118272,0.00007357065,0.00002710747,0.0001760203,0.0007833397,0.0001183774,0.00006669,0.0003159504,0.000002129847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509099,"about_ca_system_score_gemma":0.0001654311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6485427,"about_ca_topic_score_gemma":0.2901174,"domain_scores_codex":[0.9983975,0.000564361,0.0001000571,0.0001783717,0.0005128595,0.0002468312],"domain_scores_gemma":[0.9989308,0.0004606437,0.00006160575,0.00008004921,0.0002971833,0.0001697673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009202171,0.0002544601,0.3925046,0.0005590832,0.0007396546,0.0038391,0.4971215,0.00005561344,0.003234233,0.004652818,0.07210445,0.02401423],"study_design_scores_gemma":[0.001026914,0.0004354952,0.07102916,0.0001067986,0.00004372861,0.000069908,0.2476936,0.0001161342,0.0001568774,0.0001205894,0.6789063,0.000294563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736215,0.0002961517,0.000001314371,0.002153383,0.00006870324,0.000128799,0.000003998332,0.00001235652,0.02371375],"genre_scores_gemma":[0.9822753,0.0002580168,0.0000669752,0.00001333072,0.0000881347,3.399906e-7,0.000002088723,0.000003582457,0.01729223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6068018,"threshold_uncertainty_score":0.9989016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481040752724373,"score_gpt":0.2829861095032425,"score_spread":0.2481757019759988,"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."}}