{"id":"W2596816404","doi":"10.5194/gmd-10-1175-2017","title":"The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions","year":2017,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":314,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Youth Innovation Promotion Association; Bundesministerium für Bildung und Forschung; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft; European Commission; Sight Research UK; Natural Environment Research Council; Karlsruhe Institute of Technology; Met Office; National Science Foundation","keywords":"Benchmarking; Coupled model intercomparison project; Vegetation (pathology); Computer science; Component (thermodynamics); Set (abstract data type); Greenhouse gas; Environmental science; Earth system science; Simulation modeling; Systems engineering; Climate model; Meteorology; Climate change; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02080255,0.001625348,0.000877935,0.001518452,0.001754382,0.001437088,0.004019911,0.001464689,0.020114],"category_scores_gemma":[0.01865256,0.001253644,0.001203954,0.002290973,0.0008579874,0.001718845,0.002320565,0.003035162,0.00633157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883319,"about_ca_system_score_gemma":0.006382292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00575756,"about_ca_topic_score_gemma":0.005885947,"domain_scores_codex":[0.9946749,0.002276172,0.0005413177,0.0006564625,0.00155401,0.0002971292],"domain_scores_gemma":[0.9904183,0.001918701,0.0006081664,0.004394656,0.002225487,0.0004348092],"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":[0.004579045,0.006154925,0.02003953,0.00382807,0.0009604224,0.0005690317,0.001126902,0.1640493,0.1287697,0.07877342,0.3471198,0.2440299],"study_design_scores_gemma":[0.002249176,0.003012047,0.01493034,0.0005695223,0.0003536411,0.0003164524,0.0003231776,0.1469891,0.2080377,0.03331263,0.5894593,0.0004468786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.06286901,0.0008418061,0.6979598,0.001019679,0.001340052,0.03084411,0.1674117,0.01368891,0.02402508],"genre_scores_gemma":[0.08650065,0.001027427,0.6540316,0.0006227266,0.0001863681,0.1072401,0.1378452,0.004610949,0.007934991],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.02080255,"threshold_uncertainty_score":0.1100157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0676661163236718,"score_gpt":0.3256809775846986,"score_spread":0.2580148612610268,"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."}}