{"id":"W3016074064","doi":"","title":"Communicating Climate Change Science to Stakeholders for Assessments of Impact and Adaptation: Experiences at the Municipal Level in Canada","year":2004,"lang":"en","type":"article","venue":"AGUFM","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Climate change adaptation; Adaptation (eye); Environmental planning; Environmental resource management; Political science; Geography; Environmental science; Psychology; Geology","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":[0.004046288,0.0002634334,0.0002829174,0.0006519296,0.03168177,0.004914249,0.001563617,0.002050231,0.003895639],"category_scores_gemma":[0.009840313,0.0003103136,0.0003478169,0.002665534,0.00325341,0.001280486,0.003483115,0.002195148,0.0002920712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08616443,"about_ca_system_score_gemma":0.1815033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99418,"about_ca_topic_score_gemma":0.9983196,"domain_scores_codex":[0.9947339,0.001530537,0.0001310311,0.0002332953,0.001567273,0.001803932],"domain_scores_gemma":[0.9904972,0.002114156,0.0003828889,0.0001708117,0.0039834,0.002851431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004378706,0.0006208058,0.1247078,0.0004364155,0.00008008118,0.005656235,0.7022638,0.004262187,0.007203871,0.009909708,0.02807064,0.1163506],"study_design_scores_gemma":[0.00002950974,0.0001285085,0.07072143,0.0001610504,0.00004333669,0.0001979877,0.8357002,0.00206128,0.001437187,0.001212131,0.08822244,0.00008501988],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570124,0.0004417071,0.0009683177,0.01219333,0.00005117576,0.0002416875,0.0002028255,0.00007140924,0.02881703],"genre_scores_gemma":[0.9878249,0.0004068698,0.001192104,0.0009114656,0.000006367954,0.00005263381,0.00008450021,0.00002215646,0.00949908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08616443,"threshold_uncertainty_score":0.6251696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2077839196034231,"score_gpt":0.3722042061968679,"score_spread":0.1644202865934448,"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."}}