{"id":"W7027437470","doi":"","title":"Communities across Canada receive support for infrastructure planning, green innovation, and climate change resiliency initiatives","year":2018,"lang":"en","type":"other","venue":"","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Sustainability; Government (linguistics); Resilience (materials science); Climate change adaptation; Work (physics)","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":[0.001683944,0.0005121654,0.0004082129,0.00238217,0.01485435,0.004968189,0.001508831,0.002483062,0.07796353],"category_scores_gemma":[0.008901244,0.0004009188,0.0006776039,0.004150244,0.001596243,0.001214424,0.005197407,0.002246296,0.007355467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04597392,"about_ca_system_score_gemma":0.339735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907181,"about_ca_topic_score_gemma":0.9979191,"domain_scores_codex":[0.9952584,0.0001811929,0.00005931453,0.0001590015,0.001586836,0.0027552],"domain_scores_gemma":[0.9780612,0.0007399981,0.0004204015,0.0003556804,0.009055831,0.01136677],"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":[0.00009371808,0.0003526183,0.04817238,0.0002463178,0.00004936223,0.0005322713,0.003140497,0.0004548746,0.0008240867,0.0212334,0.7437946,0.1811059],"study_design_scores_gemma":[0.00007741919,0.00005135884,0.1059929,0.0003001407,0.0000402636,0.0001545621,0.01292147,0.000535442,0.0005531937,0.002229265,0.877093,0.0000511117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05977444,0.001471974,0.001148802,0.0565435,0.001173467,0.0005909553,0.01186156,0.0006477623,0.8667875],"genre_scores_gemma":[0.2001215,0.001969361,0.002984673,0.01300166,0.0001452859,0.0002434429,0.006787674,0.0002168986,0.7745295],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07796353,"threshold_uncertainty_score":0.3335657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792669476115898,"score_gpt":0.2920127436348004,"score_spread":0.2640860488736414,"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."}}