{"id":"W4229812038","doi":"10.1017/9781108596800.012","title":"B010 <i>v</i>. Canada (Minister of Citizenship and Immigration)","year":2020,"lang":"en","type":"article","venue":"International Law Reports","topic":"International Law and Aviation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Immigration; Citizenship; Law; Political science; Convention; Section (typography); Immigration law; Order (exchange); Business; 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":[0.0006549222,0.0005347961,0.0004383747,0.0009554351,0.007075879,0.004670634,0.001346612,0.0033589,0.2395676],"category_scores_gemma":[0.00233049,0.0003895463,0.0003421034,0.001289371,0.00083143,0.0009085226,0.001223126,0.003536573,0.06969376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02489146,"about_ca_system_score_gemma":0.06850468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9571062,"about_ca_topic_score_gemma":0.9790212,"domain_scores_codex":[0.9986849,0.0000446069,0.0000301578,0.000134716,0.0005516084,0.0005540859],"domain_scores_gemma":[0.998082,0.0001076448,0.00003564232,0.00005139998,0.001294856,0.0004283671],"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":[0.00001123272,0.0000104034,0.0002946042,0.00003879242,0.000001887242,0.00004696727,0.00007946794,0.00002913068,0.0001162157,0.01941876,0.9715387,0.00841378],"study_design_scores_gemma":[0.000002850365,0.000002374811,0.001149027,0.00003122492,0.000001321697,0.00001285917,0.0001043623,0.00004351728,0.0000645281,0.0003354824,0.998247,0.000005450827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001040097,0.001292491,0.0002374405,0.01016753,0.00184132,0.0001435293,0.008564129,0.0003187242,0.9763947],"genre_scores_gemma":[0.006439287,0.0003864742,0.000229533,0.004658718,0.00007404431,0.00003788574,0.001362561,0.0001141974,0.9866971],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2395676,"threshold_uncertainty_score":0.8014334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569066329923634,"score_gpt":0.2620999503398417,"score_spread":0.2464092870406054,"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."}}