{"id":"W6981722997","doi":"","title":"Évaluation par modélisation de l'effet du niveau de récolte et du régime sylvicole sur la production du bois et la dynamique du carbone forestier en forêt tempérée du Québec","year":2018,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Synthesis and biological activity","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Carbon stock; Forest regeneration; Tropical forest","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0005968508,0.001072608,0.0007751217,0.0003473943,0.0006339227,0.001006298,0.00114295,0.001173826,0.003250282],"category_scores_gemma":[0.00118908,0.0004731978,0.001013025,0.0003311811,0.0004038902,0.000336055,0.0003670767,0.0008751829,0.0002620179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002919143,"about_ca_system_score_gemma":0.004017749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6221527,"about_ca_topic_score_gemma":0.5133405,"domain_scores_codex":[0.9998507,0.00004124242,0.000006796584,0.000035936,0.00002307972,0.00004218222],"domain_scores_gemma":[0.9992492,0.0003744735,0.00004712642,0.00003048386,0.0002427419,0.0000558611],"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":[0.0001138108,0.00007006334,0.005458543,0.00006444683,0.00005855418,0.00004496716,0.00002193649,0.9901967,0.001432045,0.0001468285,0.000181012,0.002211169],"study_design_scores_gemma":[0.0000464987,0.0001042827,0.004172414,0.00001253016,0.00004895352,0.000005006528,0.00003375511,0.9941753,0.001002733,0.00005997121,0.0003284643,0.00001024045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804839,0.0003267369,0.01056081,0.0002239855,0.00005372249,0.0001300079,0.001052945,0.0003651753,0.006802734],"genre_scores_gemma":[0.9905517,0.000184143,0.005107576,0.0000536721,0.000006322392,0.0001039555,0.0006102535,0.00003571332,0.00334655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3778473,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007927555158804705,"score_gpt":0.1871549474219402,"score_spread":0.1792273922631355,"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."}}