{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001375775,0.000181366,0.0003447263,0.00007601757,0.0002461993,0.00004316439,0.0004924518,0.00006303841,0.0001501212],"category_scores_gemma":[0.0003006234,0.0001329869,0.0001073127,0.0004371365,0.001036464,0.0004052308,0.0002857342,0.0001684329,0.00000698818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001159371,"about_ca_system_score_gemma":0.0000259201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008727563,"about_ca_topic_score_gemma":0.00001147817,"domain_scores_codex":[0.9984259,0.00007543933,0.0005441119,0.0003328345,0.0003887636,0.0002329676],"domain_scores_gemma":[0.9986708,0.0006752541,0.0003313069,0.0001765687,0.00003253989,0.0001135991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004383779,0.0002484049,0.005051002,0.007554479,0.00004161887,0.000001338573,0.001083634,0.1230337,0.0006179256,0.789765,0.00180513,0.07075394],"study_design_scores_gemma":[0.0001274125,0.00009490126,0.001205742,0.0007433474,0.0000228816,0.000008486795,0.00003451507,0.5630771,0.00003708748,0.4336222,0.0009020393,0.0001243538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605268,0.007213426,0.0234146,0.001073604,0.0001194118,0.0009795157,0.00001338307,0.00005611455,0.006603176],"genre_scores_gemma":[0.5929916,0.00006478891,0.4061665,0.000562567,0.00004741322,0.00003017372,0.0000259925,0.00001203475,0.00009890419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4400434,"threshold_uncertainty_score":0.5423048,"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."}}