{"id":"W4313320449","doi":"10.1029/2022jd037236","title":"Lightning Over Central Canada: Skill Assessment for Various Land‐Atmosphere Model Configurations and Lightning Indices Over a Boreal Study Area","year":2022,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Lightning (connector); Meteorology; Convective available potential energy; Environmental science; Lightning detection; Convection; Boreal; Numerical weather prediction; Convective storm detection; Climatology; Thunderstorm; Geology; Geography; 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":[0.000758326,0.0006560057,0.0003698473,0.0004283873,0.0009185427,0.000758755,0.0009536353,0.0004511205,0.0004391986],"category_scores_gemma":[0.001674257,0.0002238761,0.0005150469,0.0005998296,0.0003914549,0.0003524368,0.0003905123,0.0003735382,0.00006667041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005238625,"about_ca_system_score_gemma":0.004242552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9312869,"about_ca_topic_score_gemma":0.8973175,"domain_scores_codex":[0.9998243,0.00002989694,0.00001236857,0.00004967268,0.00003519195,0.00004853423],"domain_scores_gemma":[0.9989894,0.0003068789,0.000090716,0.00008026353,0.0003910846,0.0001416274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004858557,0.0002214932,0.3972774,0.00005873668,0.0002267692,0.000240221,0.0002681568,0.582726,0.004327124,0.0003694914,0.001058993,0.01273971],"study_design_scores_gemma":[0.0001193999,0.0001258369,0.2019327,0.00001803676,0.00007963841,0.00003735177,0.0003935258,0.7938077,0.002850501,0.0001223395,0.0004751934,0.00003777584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990078,0.00002591801,0.0001680309,0.00003082025,0.000002566719,0.000007014468,0.0002996098,0.00004297596,0.0004152607],"genre_scores_gemma":[0.9990461,0.00002367765,0.000261583,0.000007460914,0.00000152221,0.000003609545,0.0005336573,0.000004767613,0.0001175912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06871307,"threshold_uncertainty_score":0.1382354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639211907149446,"score_gpt":0.2997546730112367,"score_spread":0.2833625539397422,"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."}}