{"id":"W6926740160","doi":"10.25384/sage.c.4074509","title":"The Gains/Losses of Canadian Religious Groups from Immigration","year":2018,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Buddhism; Population growth; Immigration policy; Service (business)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001418437,0.0003990807,0.0005062199,0.001175857,0.0002605641,0.0003249744,0.003434416,0.0003906854,0.01301575],"category_scores_gemma":[0.0006437147,0.0002833778,0.00009832858,0.0007618766,0.0002816587,0.0002573331,0.0003676998,0.0004705457,0.006720234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001748073,"about_ca_system_score_gemma":0.0008308324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7514493,"about_ca_topic_score_gemma":0.9788347,"domain_scores_codex":[0.9970977,0.000344958,0.0006948597,0.0005403053,0.000757374,0.0005647489],"domain_scores_gemma":[0.9937549,0.0001934024,0.001462435,0.004074604,0.0001359706,0.0003787408],"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":[0.00001153489,0.00001583614,0.0004153,0.00000866229,0.0003628484,0.00003694229,0.0001105671,1.754861e-7,0.0004064066,0.000002782048,0.9912773,0.007351641],"study_design_scores_gemma":[0.0002502749,0.00002538757,0.0006711211,0.002885514,0.0002040248,0.00002352717,0.0002107227,0.00003305933,0.00008212772,0.0005761837,0.9947305,0.0003075601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0004405193,0.3776808,0.0002213032,0.001514534,0.002333682,0.001039083,0.2177545,0.0002231114,0.3987925],"genre_scores_gemma":[0.004685207,0.6697735,0.002123157,0.0005031446,0.010577,0.0000224574,0.01410471,0.003908884,0.2943019],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2920927,"threshold_uncertainty_score":0.9999619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05341221784574677,"score_gpt":0.3104128771675682,"score_spread":0.2570006593218214,"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."}}