{"id":"W4413671807","doi":"10.64628/aam.ykg69s3u3","title":"How American cities &amp; states are fighting climate change globally","year":2017,"lang":"en","type":"preprint","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Climate change; Geography; Political science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007068639,0.0002015246,0.0001450548,0.0003806454,0.001074727,0.003858962,0.0004929437,0.001152344,0.01055231],"category_scores_gemma":[0.003077645,0.000157552,0.0002681081,0.001361446,0.0008353919,0.002913785,0.0008381911,0.001277259,0.0006234132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002923351,"about_ca_system_score_gemma":0.003654537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1068665,"about_ca_topic_score_gemma":0.1686171,"domain_scores_codex":[0.9996486,0.0001626084,0.000007059562,0.00006099107,0.00005168826,0.00006904902],"domain_scores_gemma":[0.9994634,0.0001204615,0.00006797285,0.00006074777,0.0001436769,0.0001437345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000687377,0.0001015919,0.06916318,0.0001039721,0.0001417212,0.00009031436,0.002504116,0.08134311,0.0004109742,0.6655226,0.1124554,0.06809431],"study_design_scores_gemma":[0.0000230282,0.00002496631,0.04100806,0.000156346,0.0001110095,0.0000663582,0.01522086,0.1265768,0.0007435392,0.4612219,0.3547737,0.00007358519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4561152,0.001923278,0.02625482,0.1597663,0.00140724,0.00004938025,0.005577905,0.0002297833,0.3486761],"genre_scores_gemma":[0.9685051,0.001431664,0.003307769,0.002967592,0.0001428186,0.000031066,0.0009153488,0.00007076265,0.02262793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1068665,"threshold_uncertainty_score":0.212489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2716695520976901,"score_gpt":0.4073525852589995,"score_spread":0.1356830331613094,"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."}}