{"id":"W2582992192","doi":"10.1016/j.agrformet.2017.01.013","title":"A model for simulating the moisture content of standardized fuel sticks of various sizes","year":2017,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Oklahoma State University","keywords":"Water content; Environmental science; Calibration; Moisture; Ranging; Interception; Precipitation; Soil science; Meteorology; Atmospheric sciences; Statistics; Mathematics; Computer science; Geology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004349842,0.00061379,0.0007298604,0.0004259071,0.000621026,0.000823656,0.001756219,0.001948123,0.003590316],"category_scores_gemma":[0.001688038,0.0005030605,0.0007895142,0.0005932028,0.0005687444,0.0007711128,0.0004693372,0.000949659,0.0002668681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131563,"about_ca_system_score_gemma":0.001148733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0399255,"about_ca_topic_score_gemma":0.02237125,"domain_scores_codex":[0.9998691,0.000029376,0.000008386638,0.00004209153,0.00002146826,0.00002956822],"domain_scores_gemma":[0.9992344,0.0004365895,0.00006351314,0.00005558458,0.00008783975,0.000122167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003169268,0.00003481238,0.0007367703,0.000007048599,0.000009200078,0.00002209933,0.000009910055,0.99716,0.0005085127,0.000656286,0.00013473,0.0006889454],"study_design_scores_gemma":[0.00001453492,0.000009072069,0.0001710602,7.720507e-7,0.000003504125,0.000003414026,0.000002909746,0.999376,0.0001393849,0.0002045886,0.00007168051,0.000003178964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8247046,0.0001320066,0.1630674,0.000363665,0.0001365148,0.0001721581,0.003119384,0.001105686,0.007198584],"genre_scores_gemma":[0.9795685,0.00006165241,0.0164261,0.00004262355,0.00001527316,0.0001149483,0.0008636527,0.00005750254,0.002849797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0399255,"threshold_uncertainty_score":0.07938623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113772080164956,"score_gpt":0.2340885671416569,"score_spread":0.2129508463400073,"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."}}