{"id":"W2792870601","doi":"","title":"Law v. Canada (Minister of Employment and Immigration): factums","year":2016,"lang":"en","type":"article","venue":"Books | Encyclopedia of Canadian Laws","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Political science; Law; Immigration law; Economics","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":[0.001242356,0.0005742186,0.0004542631,0.001639328,0.01598475,0.006895111,0.002447668,0.01006209,0.02693628],"category_scores_gemma":[0.004994132,0.0007751103,0.000546169,0.002731662,0.003171556,0.002466423,0.001313976,0.005746938,0.004668175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05614424,"about_ca_system_score_gemma":0.1394187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.983275,"about_ca_topic_score_gemma":0.9935691,"domain_scores_codex":[0.9974064,0.0001011323,0.00005767185,0.000149629,0.001312595,0.0009725756],"domain_scores_gemma":[0.9982002,0.0003446464,0.00006312299,0.00006275679,0.001065316,0.0002640084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009847212,0.00001153369,0.0003339702,0.00003784699,0.000002450915,0.00007978498,0.0008269812,0.00003976439,0.0001090236,0.07704711,0.9133448,0.008157007],"study_design_scores_gemma":[0.000008380565,0.000003658692,0.002604996,0.000131284,0.000007329344,0.00003571507,0.0006932471,0.00005347241,0.0001525906,0.002605098,0.993683,0.00002130242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005864989,0.01488263,0.0004357924,0.09947639,0.002601277,0.0001594089,0.003834551,0.0001944245,0.8725506],"genre_scores_gemma":[0.04688627,0.005495812,0.0005153041,0.07201412,0.0004441577,0.0001066228,0.0007916667,0.0001061833,0.8736398],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05614424,"threshold_uncertainty_score":0.4073569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052060873608651,"score_gpt":0.2560761971936736,"score_spread":0.2355555884575871,"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."}}