{"id":"W7016086336","doi":"","title":"Who is included in a Just Transition?: Considering social equity in Canada’s shift to a zero-carbon economy","year":2022,"lang":"en","type":"report","venue":"York University Digital Library (York University)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Social justice; Mainstream; Transition (genetics); Scope (computer science); Social equality; Social policy","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":[0.006786791,0.0003478376,0.0004318044,0.001354764,0.02423718,0.01235567,0.002129536,0.005501872,0.004306455],"category_scores_gemma":[0.009121378,0.0002353709,0.0005316272,0.002314337,0.01037786,0.004402969,0.005486193,0.008392897,0.0002121567],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1509955,"about_ca_system_score_gemma":0.3781841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920641,"about_ca_topic_score_gemma":0.996649,"domain_scores_codex":[0.9888832,0.001249186,0.0001225651,0.0003801071,0.002878663,0.006486268],"domain_scores_gemma":[0.992237,0.00151201,0.0002347757,0.00009467285,0.002640528,0.003280933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008043336,0.0001172168,0.02343054,0.0003058348,0.0000332532,0.001804206,0.08666582,0.001014584,0.0006610103,0.6253486,0.2070315,0.05350709],"study_design_scores_gemma":[0.00004149911,0.00005583549,0.04159894,0.001376771,0.00008409668,0.0003550136,0.2786353,0.001394715,0.0009219637,0.06137364,0.6139856,0.0001766309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.1078035,0.00943192,0.001129006,0.688886,0.001439239,0.0001900621,0.0007679729,0.0000301198,0.1903222],"genre_scores_gemma":[0.8459262,0.008548929,0.001464409,0.107162,0.0003769226,0.000103319,0.0003209226,0.00004698128,0.03605035],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1509955,"threshold_uncertainty_score":0.9847249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04032346416660982,"score_gpt":0.2320691387080577,"score_spread":0.1917456745414479,"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."}}