{"id":"W2097626373","doi":"10.5558/tfc85870-6","title":"Model development for lumber volume recovery of natural balsam fir trees in Quebec, Canada","year":2009,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest ecology and management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Université Laval; FPInnovations","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; University of British Columbia; FPInnovations; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université Laval; U.S. Department of Agriculture","keywords":"Balsam; Volume (thermodynamics); Abies balsamea; Douglas fir; Tree (set theory); Regression analysis; Forestry; Environmental science; Engineering; Mathematics; Statistics; Geography; Botany; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0005540462,0.0006717623,0.0004404849,0.0005187278,0.0007329367,0.0006737293,0.001792617,0.0006566991,0.003092713],"category_scores_gemma":[0.001051956,0.0003809146,0.0005156339,0.0004858046,0.0002317693,0.0003169722,0.0002615,0.0005561206,0.0003554156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007465005,"about_ca_system_score_gemma":0.007956818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9286925,"about_ca_topic_score_gemma":0.8916636,"domain_scores_codex":[0.9998527,0.0000247269,0.000007459215,0.0000429215,0.0000351968,0.00003703807],"domain_scores_gemma":[0.999603,0.0001075271,0.00003146557,0.00001060524,0.0002284723,0.0000190603],"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":[0.00002014978,0.00001964543,0.005560249,0.00001871457,0.0000142859,0.00003030857,0.00001906222,0.9889829,0.0004344031,0.000348261,0.0005591593,0.003992835],"study_design_scores_gemma":[0.000005699857,0.00000514389,0.001367219,0.000002498651,0.000004757956,0.000003470262,0.00001012606,0.9979594,0.0001668568,0.00005109151,0.0004192599,0.000004567898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8137948,0.0005508329,0.1556838,0.0005708768,0.00007798203,0.0003839259,0.007068213,0.002494529,0.01937506],"genre_scores_gemma":[0.9695002,0.0001673805,0.01935634,0.00005141988,0.000007982434,0.0002236097,0.002099102,0.0001223071,0.008471732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07130754,"threshold_uncertainty_score":0.1434549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006934801438440298,"score_gpt":0.2017861723593765,"score_spread":0.1948513709209362,"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."}}