{"id":"W2109239173","doi":"10.1139/cjfr-2012-0402","title":"Improving tree selection for partial cutting through joint probability modelling of tree vigor and quality","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Beech; Hardwood; Yellow birch; Mathematics; Diameter at breast height; Tree (set theory); Joint probability distribution; Copula (linguistics); Forestry; Maple; Statistics; Botany; Biology; Geography; Econometrics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002980076,0.0008226407,0.001276724,0.0008077883,0.00032569,0.001264626,0.001346356,0.0006414106,0.00103883],"category_scores_gemma":[0.004833007,0.0006415591,0.00139239,0.0008378357,0.0005072895,0.0009161548,0.001024922,0.0006866709,0.0002034254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005987757,"about_ca_system_score_gemma":0.001124912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008015034,"about_ca_topic_score_gemma":0.007484197,"domain_scores_codex":[0.9992722,0.0002424446,0.00004675041,0.0002024577,0.0001060778,0.0001301768],"domain_scores_gemma":[0.9967688,0.002033228,0.0005466216,0.0001932072,0.0002982595,0.0001598601],"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":[0.0001006448,0.00005777163,0.01792454,0.00004913055,0.0001018306,0.00009767544,0.0001075711,0.9534459,0.003278719,0.002089015,0.0001534306,0.02259394],"study_design_scores_gemma":[0.000002723066,0.0000237495,0.002353634,0.000002481447,0.00001163068,0.00001704384,0.00000531537,0.9967239,0.0002186095,0.0005825369,0.00005213519,0.000006227825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3649368,0.0001649482,0.6336485,0.00006200724,0.000012889,0.00007059413,0.000173897,0.0002827562,0.0006475892],"genre_scores_gemma":[0.957766,0.00008427897,0.04086697,0.00002424865,0.00001196766,0.00007156034,0.0003207338,0.00005373235,0.0008005208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008015034,"threshold_uncertainty_score":0.01593679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144347309899082,"score_gpt":0.3140081854156635,"score_spread":0.1995734544257554,"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."}}