{"id":"W1993749904","doi":"10.1080/09613210320000976","title":"Adapting to climate change in Canada","year":2003,"lang":"en","type":"article","venue":"Building Research & Information","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Institute for Sustainable Development","funders":"Natural Resources Canada","keywords":"Political science; Climate change; Climate change adaptation; Adaptation (eye); Geography; Welfare economics; Psychology; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001670458,0.00005956161,0.00005717839,0.000140393,0.0001453682,0.00006495019,0.0001578762,0.0000162157,0.0003990514],"category_scores_gemma":[0.0001401204,0.0000576094,0.000009193759,0.0005811062,0.00001297573,0.0009970786,0.0002073008,0.0001349485,0.0002915816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065974,"about_ca_system_score_gemma":0.00005850319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8227358,"about_ca_topic_score_gemma":0.8044959,"domain_scores_codex":[0.9984982,0.00007006296,0.0001864182,0.00009558785,0.0006627734,0.0004869386],"domain_scores_gemma":[0.999692,0.00004061811,0.00003003279,0.0001330735,0.0000126969,0.00009156334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003904205,0.00004885437,0.5432103,0.00009895837,0.000007265615,0.0000165463,0.004736537,0.02890445,0.0008797897,0.03154847,0.02678845,0.3637213],"study_design_scores_gemma":[0.0007222412,0.0001201461,0.545418,0.0001340499,0.000002888828,0.000002386358,0.004918702,0.02942012,0.002021102,0.000495245,0.4163342,0.00041098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316978,0.0000082064,0.0003864276,0.0005723849,0.0001048871,0.000639212,0.000002209445,0.00001631357,0.0665726],"genre_scores_gemma":[0.9963801,0.00003458684,0.003125081,0.0003080163,0.00001101065,0.000109096,0.000003202186,0.000003725033,0.00002520095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3895457,"threshold_uncertainty_score":0.4369333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04430958626884275,"score_gpt":0.3321983557768657,"score_spread":0.2878887695080229,"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."}}