{"id":"W2786680767","doi":"","title":"A Lightning Mapping Array in Southern Ontario, Canada, and Uses for Severe Weather Nowcasting","year":2014,"lang":"en","type":"article","venue":"27th Conference on Severe Local Storms","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nowcasting; Lightning (connector); Meteorology; Climatology; Environmental science; Geography; Remote sensing; Geology; Power (physics)","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":[0.0003115239,0.0002510551,0.0002335187,0.0008947746,0.002747844,0.001117667,0.0005672559,0.0002506146,0.003333106],"category_scores_gemma":[0.001242422,0.0002034817,0.00016486,0.003731702,0.0003475313,0.0004258779,0.0004705383,0.0003309869,0.0004875603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01350914,"about_ca_system_score_gemma":0.02931673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948849,"about_ca_topic_score_gemma":0.9989241,"domain_scores_codex":[0.9996951,0.00002011214,0.00001158322,0.00004472861,0.0001390018,0.00008964379],"domain_scores_gemma":[0.9987218,0.00006305589,0.00006721784,0.00004211507,0.000929145,0.0001765817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005453078,0.0001291308,0.7663333,0.0002457766,0.00007070606,0.0008391537,0.007684156,0.004210255,0.009277816,0.001710529,0.04255992,0.166394],"study_design_scores_gemma":[0.00003449759,0.00003155579,0.9683766,0.00005222784,0.00003119678,0.0001128416,0.004517712,0.002369058,0.0006705455,0.0001162183,0.02366593,0.00002154033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367089,0.0007453631,0.001699636,0.001034468,0.00004862622,0.0002136823,0.02455483,0.0002677198,0.03472697],"genre_scores_gemma":[0.9588053,0.0004955775,0.005366902,0.0001123908,0.00001088727,0.00007704303,0.008466338,0.00006580973,0.02659982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01350914,"threshold_uncertainty_score":0.0980162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263743055915368,"score_gpt":0.1886711425255036,"score_spread":0.17603371196635,"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."}}