{"id":"W2092465862","doi":"10.1142/s1464333209003245","title":"ADDRESSING AND COMMUNICATING CLIMATE CHANGE AND ITS UNCERTAINTIES IN PROJECT ENVIRONMENTAL IMPACT ASSESSMENTS","year":2009,"lang":"en","type":"article","venue":"Journal of Environmental Assessment Policy and Management","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Climate change; Set (abstract data type); Environmental planning; Environmental resource management; Impact assessment; Environmental impact assessment; Computer science; Risk analysis (engineering); Management science; Environmental science; Engineering; Business; Political science; Ecology","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":[0.1420753,0.002038681,0.001686627,0.009398742,0.006138947,0.02075474,0.005257487,0.01114483,0.001634591],"category_scores_gemma":[0.2102668,0.001820206,0.0008076672,0.006756186,0.009526431,0.02013042,0.01187612,0.007705733,0.0007489103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008825534,"about_ca_system_score_gemma":0.02253171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01020454,"about_ca_topic_score_gemma":0.01448314,"domain_scores_codex":[0.8629712,0.09506548,0.01382616,0.00218698,0.02297544,0.002974724],"domain_scores_gemma":[0.8100736,0.1443246,0.01568793,0.005963951,0.02224101,0.001708962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001658353,0.0003698043,0.01183472,0.002220501,0.0002425813,0.002549568,0.06598154,0.09899882,0.004144441,0.43129,0.02383127,0.3583708],"study_design_scores_gemma":[0.0000964566,0.0004353301,0.007434716,0.005488887,0.0002125504,0.000801541,0.04574158,0.07173894,0.008916827,0.7061273,0.1523927,0.0006132117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0605513,0.003292832,0.7802894,0.07488538,0.000406453,0.003520548,0.0004999142,0.001419914,0.07513426],"genre_scores_gemma":[0.4566366,0.006018941,0.5275069,0.00332642,0.0003733292,0.003028933,0.0003086298,0.0002339974,0.002566166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1420753,"threshold_uncertainty_score":0.7513748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06990690666407079,"score_gpt":0.3937072699774275,"score_spread":0.3238003633133567,"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."}}