{"id":"W2787912884","doi":"","title":"Taking Action on Green Resilience: Climate Change Adaptation and Mitigation Synergies","year":2017,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Action (physics); Climate change; Environmental resource management; Climate change adaptation; Adaptation (eye); Environmental planning; Environmental science; Psychology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009194502,0.0001227655,0.00008151971,0.00009706436,0.0009575452,0.00006680999,0.0002134939,0.00007042095,0.0002414022],"category_scores_gemma":[0.00001849575,0.0001361154,0.00002530185,0.0001051366,0.0002310375,0.001236181,0.0002478111,0.0000851416,0.0001136343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000286665,"about_ca_system_score_gemma":0.000004314762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003167815,"about_ca_topic_score_gemma":0.01679358,"domain_scores_codex":[0.9991716,0.000030867,0.00007164145,0.0002850918,0.0001952128,0.0002455947],"domain_scores_gemma":[0.9995138,0.00001791805,0.0001587377,0.0002247713,0.000004116401,0.00008064482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007302746,0.00002537144,0.8993841,0.0000145787,0.000006513484,0.00004188387,0.0002107424,0.0002647117,0.00006477532,0.000461872,0.0004664686,0.09898593],"study_design_scores_gemma":[0.0005116895,0.00007025556,0.9570176,0.00003430161,0.00002054269,1.461143e-8,0.01739029,0.001511549,0.001111254,0.000285707,0.02178083,0.0002659374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787083,0.000005863649,0.00003501662,0.000576393,0.00007264507,0.0001626167,0.000006421028,0.00003759769,0.02039514],"genre_scores_gemma":[0.9976246,0.0002504004,0.0001054923,0.0001426216,0.00004259011,0.000002073991,0.00001194262,0.00000909321,0.001811123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09872,"threshold_uncertainty_score":0.9371215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902082342268661,"score_gpt":0.2337018526675754,"score_spread":0.2046810292448888,"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."}}