{"id":"W7064088900","doi":"","title":"On Being Canadian Winter 2013: Part 5 Immigration Systems of Admission","year":2013,"lang":"en","type":"other","venue":"The Atrium (University of Guelph)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Immigration policy; Government (linguistics); Population","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":[0.004032702,0.0004003715,0.0003600609,0.001345081,0.02934621,0.008815337,0.002082693,0.002615054,0.07176907],"category_scores_gemma":[0.008569618,0.0002941293,0.0003451935,0.003905836,0.003827313,0.002503033,0.005871564,0.003929705,0.005749849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06107264,"about_ca_system_score_gemma":0.1135118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9421101,"about_ca_topic_score_gemma":0.9817201,"domain_scores_codex":[0.9931121,0.0006916242,0.00009118229,0.000267517,0.002438105,0.003399432],"domain_scores_gemma":[0.9945857,0.0005186727,0.000193596,0.0001110887,0.001686467,0.002904454],"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":[0.00005748693,0.00005257883,0.004264932,0.000113673,0.000006386607,0.0003028678,0.04981836,0.0001640448,0.0002746856,0.07251582,0.8305939,0.04183523],"study_design_scores_gemma":[0.00000782491,0.00001204409,0.01375667,0.0002311806,0.000004040398,0.00006741593,0.08854397,0.00004827731,0.0001206607,0.001622848,0.8955444,0.00004079281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03943503,0.002569967,0.0003677856,0.08020096,0.002971292,0.0001445732,0.002858148,0.00010485,0.8713473],"genre_scores_gemma":[0.3617762,0.003925717,0.0007003738,0.01942202,0.000802991,0.0001688885,0.001993473,0.0002171083,0.6109933],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07176907,"threshold_uncertainty_score":0.4431152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009390106962212654,"score_gpt":0.2050342014378697,"score_spread":0.1956440944756571,"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."}}