{"id":"W1986584474","doi":"10.1007/s11069-009-9391-2","title":"Assessment of lightning-related damage and disruption in Canada","year":2009,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; Environment and Climate Change Canada; University of Waterloo","funders":"","keywords":"Damages; Electricity; Business; Natural hazard; Storm; Recreation; Natural resource economics; Lightning strike; Actuarial science; Engineering; Economics; Geography; Thunderstorm; Meteorology","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":[0.0005438764,0.0003663974,0.0002974053,0.002132698,0.002154066,0.001422618,0.0009270422,0.0003675983,0.001287122],"category_scores_gemma":[0.00181769,0.0001958582,0.000369596,0.002668259,0.0004807079,0.0003860171,0.0005945465,0.0004702832,0.000126453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04097133,"about_ca_system_score_gemma":0.03228831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996555,"about_ca_topic_score_gemma":0.9983279,"domain_scores_codex":[0.999397,0.00004229639,0.00002328551,0.00003982862,0.0003258718,0.0001717926],"domain_scores_gemma":[0.9979792,0.000123273,0.0001438063,0.00003244992,0.001423092,0.0002981041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005473326,0.0001604354,0.9168298,0.00007841745,0.0002466878,0.0005528156,0.0009129491,0.03235743,0.002089634,0.001297012,0.002671816,0.04225581],"study_design_scores_gemma":[0.00003722858,0.000124657,0.9668517,0.00003799744,0.00009893456,0.000118968,0.002607087,0.02364912,0.001251802,0.0003014459,0.004881889,0.0000392069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918728,0.0003677236,0.0004284005,0.0002076178,0.00000830926,0.00005079313,0.00147555,0.00002979466,0.005559022],"genre_scores_gemma":[0.9952061,0.0002859025,0.0004412402,0.00003655478,0.000002496677,0.000008284414,0.0007881501,0.000006284522,0.003224878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04097133,"threshold_uncertainty_score":0.2972692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002242029308672902,"score_gpt":0.2197827444525348,"score_spread":0.2175407151438619,"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."}}