{"id":"W1495664568","doi":"","title":"Review of “An overview of methods for incorporating wildfires into forest planning models”","year":2010,"lang":"en","type":"article","venue":"Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Jargon; Presentation (obstetrics); Subject (documents); Sentence; Space (punctuation); Skepticism; Computer science; History; Operations research; Sociology; Linguistics; Epistemology; Artificial intelligence; Library science; Engineering; Philosophy","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":[0.008643169,0.001839488,0.001777585,0.004500413,0.0006298252,0.002245453,0.003290198,0.002837149,0.01396554],"category_scores_gemma":[0.03754461,0.001554245,0.002869968,0.006384674,0.001189849,0.003782916,0.001514411,0.003873738,0.009365313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002283294,"about_ca_system_score_gemma":0.005869641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008174928,"about_ca_topic_score_gemma":0.01071815,"domain_scores_codex":[0.995425,0.001757602,0.0005607561,0.0005344917,0.00157596,0.0001461349],"domain_scores_gemma":[0.9758391,0.01341942,0.001531797,0.001132108,0.007738864,0.0003385404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006843081,0.00005052228,0.0002620813,0.02753771,0.0004219176,0.0001103102,0.0001220573,0.007842512,0.0005042686,0.02483871,0.4193795,0.5188619],"study_design_scores_gemma":[0.00001986743,0.00006801302,0.0007320098,0.01571229,0.0002042989,0.0001814293,0.00004693594,0.00242585,0.0004450123,0.01499082,0.9651052,0.00006821211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002752856,0.9089062,0.05956592,0.01313777,0.009223032,0.0001418715,0.001044291,0.0006353661,0.007070316],"genre_scores_gemma":[0.006496639,0.9209991,0.04699234,0.008456613,0.008607653,0.0003316799,0.001950867,0.0005985917,0.005566531],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01396554,"threshold_uncertainty_score":0.04671943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0528458542677487,"score_gpt":0.3810919582178861,"score_spread":0.3282461039501374,"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."}}