{"id":"W240754649","doi":"10.5558/tfc85558-4","title":"Rentabilité des plantations d’épinette blanche améliorée génétiquement au Québec : le point vue du propriétaire","year":2009,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Ministère des Ressources naturelles et des Forêts (Québec)","funders":"Canadian Forest Service; Génome Québec; Genome Canada","keywords":"Reforestation; Silviculture; Sowing; Genetic gain; Productivity; Agroforestry; Agricultural science; Cutting; Environmental science; Forestry; Biology; Geography; Agronomy; Horticulture; Economics; Genetic variation","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":[0.000810911,0.0002716981,0.0002393633,0.0004702433,0.001453114,0.00105689,0.0007502257,0.0003585368,0.0050712],"category_scores_gemma":[0.0008912515,0.0001113613,0.0003372052,0.000450186,0.0005107097,0.0004015593,0.0002571785,0.0004654888,0.0003834171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01190864,"about_ca_system_score_gemma":0.005198423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8717366,"about_ca_topic_score_gemma":0.9636376,"domain_scores_codex":[0.999581,0.00008549175,0.000007246203,0.00008721575,0.0001260303,0.0001129018],"domain_scores_gemma":[0.9992255,0.0001553009,0.00009340453,0.00005318448,0.000260003,0.0002126075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001496858,0.0009148695,0.6251469,0.0001809838,0.0002307176,0.002268692,0.003367734,0.01064215,0.1117053,0.002857293,0.005605591,0.235583],"study_design_scores_gemma":[0.00002676834,0.0002408928,0.9789121,0.00002481425,0.00003284844,0.0001746589,0.0009412254,0.004204167,0.00156878,0.0001271783,0.01372408,0.00002243541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943709,0.0002545948,0.0006881774,0.0002306684,0.00001133529,0.0000157026,0.0002065907,0.00002370125,0.004198379],"genre_scores_gemma":[0.9854252,0.0001708255,0.001305653,0.00008028489,0.000007613535,0.0000124565,0.000368412,0.00001717909,0.01261231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1282634,"threshold_uncertainty_score":0.2580375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009087037977068372,"score_gpt":0.2301670271819465,"score_spread":0.2210799892048781,"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."}}