{"id":"W7046869329","doi":"","title":"Episode 21: Canada's racist border policies","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Refugee; Racism; Public policy; Immigration; State (computer science); Asylum seeker","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":[0.001196627,0.0003248816,0.0003218018,0.0007190768,0.02311056,0.006381732,0.001354653,0.007500624,0.06794799],"category_scores_gemma":[0.00439334,0.0004234084,0.0003771438,0.001326048,0.001910573,0.001310286,0.002647816,0.006516156,0.006682702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04029883,"about_ca_system_score_gemma":0.1140146,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985803,"about_ca_topic_score_gemma":0.993887,"domain_scores_codex":[0.9969252,0.00008473115,0.00003775703,0.00009871106,0.001281214,0.00157232],"domain_scores_gemma":[0.9961991,0.0002824433,0.0001146075,0.0001242334,0.001707823,0.001571838],"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":[0.00001178172,0.00001284702,0.00079384,0.0000232425,0.000002033799,0.0001602561,0.001124359,0.00003031514,0.0001081476,0.006816015,0.9867561,0.004161037],"study_design_scores_gemma":[0.000007776006,0.000004758076,0.005089446,0.00005408434,0.000003227951,0.00003417021,0.003173467,0.00002585968,0.0001253896,0.0003046101,0.9911602,0.00001712933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02078678,0.001973811,0.0003134015,0.1421716,0.003224507,0.0002427132,0.008003618,0.0003407721,0.8229427],"genre_scores_gemma":[0.05845727,0.001184315,0.0002353749,0.04998772,0.0003177794,0.0001088564,0.001670893,0.000151751,0.887886],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06794799,"threshold_uncertainty_score":0.2923898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004486193222526687,"score_gpt":0.2067304473345645,"score_spread":0.2022442541120378,"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."}}