{"id":"W2982103467","doi":"10.4095/289255","title":"Five Municipal Case Studies on Adapting to Climate Change for Professional Planners","year":2011,"lang":"en","type":"report","venue":"","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Climate change; Environmental planning; Environmental science; Business; Environmental resource management; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009590868,0.0004755976,0.0004376476,0.002292315,0.01518362,0.00538083,0.002492015,0.003386906,0.006385189],"category_scores_gemma":[0.02438192,0.0005705068,0.0006483337,0.01268486,0.003125848,0.002378301,0.005257457,0.00239524,0.0005525742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03600633,"about_ca_system_score_gemma":0.02461628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3724177,"about_ca_topic_score_gemma":0.6956028,"domain_scores_codex":[0.9894184,0.006065955,0.0003970368,0.000365551,0.001743054,0.002010052],"domain_scores_gemma":[0.9832528,0.008169915,0.001384164,0.001543982,0.003390423,0.002258815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009369667,0.002788157,0.07986851,0.001675693,0.0001705108,0.032238,0.3556486,0.06848025,0.002139034,0.1596578,0.130831,0.1655655],"study_design_scores_gemma":[0.0002231495,0.0004832261,0.0315889,0.0006634558,0.0001063497,0.001773853,0.4880808,0.01046268,0.002142904,0.01198833,0.4523452,0.0001411624],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8258898,0.00169978,0.00678667,0.009913947,0.0001066762,0.002348039,0.001481234,0.0001561958,0.1516176],"genre_scores_gemma":[0.9593326,0.002691931,0.01308579,0.0007228102,0.00004002106,0.001107451,0.00128964,0.00004802107,0.02168164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3724177,"threshold_uncertainty_score":0.7404999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2251757258670592,"score_gpt":0.3942119514677133,"score_spread":0.169036225600654,"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."}}