{"id":"W2801359196","doi":"10.3390/fire1010018","title":"The 2017 North Bay and Southern California Fires: A Case Study","year":2018,"lang":"en","type":"article","venue":"Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Bay; Oceanography; Geography; Environmental science; Geology","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":[0.0006836897,0.0004185411,0.0002560147,0.0008203901,0.003759566,0.001240853,0.0007057694,0.0008168451,0.001263984],"category_scores_gemma":[0.001241063,0.0002430226,0.0003269472,0.001165303,0.0006758799,0.0006082116,0.0008985958,0.0009720062,0.0001232651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003613547,"about_ca_system_score_gemma":0.002474749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2419843,"about_ca_topic_score_gemma":0.5941967,"domain_scores_codex":[0.9995315,0.00007174446,0.00002754692,0.00008038939,0.0001410765,0.0001477237],"domain_scores_gemma":[0.9991936,0.000166135,0.0001937626,0.00005184444,0.0001390732,0.0002554434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.0005348081,0.001781536,0.8135467,0.0004748979,0.0002793071,0.04088078,0.02125023,0.006999225,0.001884811,0.002623511,0.03642829,0.07331596],"study_design_scores_gemma":[0.0001181988,0.0003920369,0.8758897,0.0004343198,0.000199526,0.008375638,0.07074729,0.005394957,0.000667995,0.0009457257,0.03675069,0.00008393637],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917845,0.0006836964,0.0002039238,0.0004898536,0.00004001698,0.00007127412,0.0004978826,0.00001949719,0.006209438],"genre_scores_gemma":[0.9950889,0.001109151,0.0007459373,0.0002099244,0.00005949322,0.00006144037,0.0006708591,0.00001173221,0.002042432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2419843,"threshold_uncertainty_score":0.4811516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008967156851054293,"score_gpt":0.2208616629203839,"score_spread":0.2118945060693296,"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."}}