{"id":"W6902934693","doi":"10.7939/r3-5wd1-gt05","title":"Measuring and approximating the effects of forest fires on timber supply in Alberta","year":2005,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Work (physics); Production (economics); Vegetation (pathology); Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005998228,0.0004173751,0.0003958817,0.001514977,0.001169823,0.001695047,0.001165416,0.0003931895,0.001639767],"category_scores_gemma":[0.002826679,0.000442012,0.000280703,0.00324371,0.0005262247,0.0004931175,0.0005981133,0.0003889643,0.0002494317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01195599,"about_ca_system_score_gemma":0.007751659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9565462,"about_ca_topic_score_gemma":0.9837615,"domain_scores_codex":[0.9995678,0.00004585957,0.00001958364,0.00005813165,0.0002279167,0.0000806494],"domain_scores_gemma":[0.9991419,0.0002897687,0.00008488441,0.00003649872,0.000359871,0.0000870271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007736587,0.00026518,0.2715226,0.0001423594,0.0002082832,0.0004265762,0.0008600091,0.6054676,0.01114009,0.00217735,0.002789503,0.1042269],"study_design_scores_gemma":[0.00005063622,0.00006846397,0.4864326,0.00003505939,0.0001270635,0.00007250129,0.002078799,0.4961201,0.009989602,0.001271277,0.003689181,0.00006467626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872429,0.000270833,0.004228619,0.00008195699,0.000006960493,0.00003475852,0.0006948979,0.0001325691,0.007306559],"genre_scores_gemma":[0.9897224,0.0003190907,0.004906412,0.00001630893,0.000003220967,0.00001229909,0.0005876837,0.00002948593,0.004403173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04345381,"threshold_uncertainty_score":0.08741939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003486970020091688,"score_gpt":0.1533758902476952,"score_spread":0.1498889202276035,"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."}}