{"id":"W4415005793","doi":"10.37002/biodiversidadebrasileira.v9i1.1091","title":"WildFireSat:","year":2019,"lang":"en","type":"article","venue":"Biodiversidade Brasileira","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Toronto; Environment and Climate Change Canada; Canadian Space Agency; Canadian Forest Service","funders":"","keywords":"Scope (computer science); Government (linguistics); Presentation (obstetrics); Situation awareness; Service (business); Satellite","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002013074,0.001224549,0.0007724816,0.001144224,0.001459775,0.00419992,0.002055307,0.0008097594,0.04770809],"category_scores_gemma":[0.002253149,0.000732819,0.000522975,0.00137225,0.0006201176,0.002454472,0.001924012,0.001926918,0.03762263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003505016,"about_ca_system_score_gemma":0.004918623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2647802,"about_ca_topic_score_gemma":0.3622531,"domain_scores_codex":[0.9990047,0.00006903015,0.00002893455,0.0001535281,0.0005224644,0.0002214041],"domain_scores_gemma":[0.9983858,0.0001007143,0.00004103952,0.0002022546,0.0009796377,0.0002905585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001141311,0.00008775316,0.006618984,0.0002781618,0.00006477693,0.0001473576,0.0006542304,0.001879854,0.005418355,0.008249179,0.8546627,0.1207973],"study_design_scores_gemma":[0.0001095087,0.00005074954,0.00585252,0.00009036175,0.00002304012,0.00006818502,0.0002071896,0.004880329,0.005162415,0.001653113,0.9818439,0.00005871597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02217411,0.003116904,0.06918554,0.00274079,0.002547754,0.001564637,0.2531704,0.2849,0.3605999],"genre_scores_gemma":[0.1180031,0.001997322,0.0646954,0.001860248,0.0006030732,0.0007218853,0.5634467,0.02870685,0.2199654],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9522919,"threshold_uncertainty_score":0.5264779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006478068910170979,"score_gpt":0.1905207969674065,"score_spread":0.1840427280572355,"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."}}