{"id":"W7065043760","doi":"","title":"Communities across Canada receive support for green innovation, climate change resiliency, and infrastructure planning initiatives","year":2018,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Sustainability; Government (linguistics); Work (physics); Climate change adaptation","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":[0.002091481,0.0006273363,0.0004518117,0.002546536,0.01783338,0.005755091,0.001697877,0.002874392,0.07792161],"category_scores_gemma":[0.00833788,0.0004155193,0.0008210044,0.003531393,0.002005925,0.001382678,0.006113995,0.002493063,0.008440633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04594377,"about_ca_system_score_gemma":0.3589163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867437,"about_ca_topic_score_gemma":0.9966252,"domain_scores_codex":[0.9956676,0.000163539,0.00004384876,0.0001296051,0.001487552,0.002507858],"domain_scores_gemma":[0.972702,0.0008564765,0.0003929992,0.0004263607,0.01054287,0.01507932],"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":[0.0001241424,0.000320509,0.02174417,0.0002110486,0.00004288257,0.000441293,0.001676307,0.0004372,0.0009738644,0.01881205,0.8236467,0.1315697],"study_design_scores_gemma":[0.00007980631,0.00005775873,0.05096528,0.0002374299,0.00003282718,0.0001293275,0.01028465,0.0005059832,0.0006155997,0.002550153,0.9344873,0.00005388483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04572133,0.001627757,0.001927283,0.06915461,0.00153494,0.0007559521,0.01428204,0.0012024,0.8637937],"genre_scores_gemma":[0.1799888,0.002314525,0.005518638,0.02074514,0.0001903057,0.000348867,0.00771511,0.0004020581,0.7827767],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07792161,"threshold_uncertainty_score":0.3333469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024307639094054,"score_gpt":0.3228775367695406,"score_spread":0.2926344603786001,"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."}}