{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002865396,0.000108684,0.00008973981,0.000005696851,0.000637787,0.0000650946,0.0001749128,0.00002951395,0.0002490613],"category_scores_gemma":[0.00005612386,0.00006676259,0.00002005595,0.00008793394,0.0002043094,0.00005620533,0.0001804406,0.00007474735,0.004600546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004181906,"about_ca_system_score_gemma":0.000004900168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01072428,"about_ca_topic_score_gemma":0.09140315,"domain_scores_codex":[0.999142,0.0000954854,0.0001231456,0.0002387353,0.0001794158,0.0002212364],"domain_scores_gemma":[0.9993796,0.0001007035,0.00005294476,0.0003748449,0.000005401515,0.00008649576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001408955,0.00007717388,0.9479192,0.000005772303,0.00001681116,0.0007146212,0.008150999,0.000002953898,0.00002554058,2.356664e-7,0.009320545,0.03375199],"study_design_scores_gemma":[0.00209299,0.002092605,0.5930001,0.00005429775,0.00009956652,0.003744729,0.01749297,0.0578634,0.00006021613,0.00004359282,0.3224415,0.001014142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985396,0.00005638116,0.000003337818,0.00009974391,0.0001285461,0.0004219151,0.00005094768,0.00003780721,0.0006616868],"genre_scores_gemma":[0.9988444,0.000002477933,0.00001273723,0.00006931366,0.000110097,0.00003083911,0.000001087776,0.00001318857,0.0009158292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3549192,"threshold_uncertainty_score":0.9961745,"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."}}