{"id":"W1998439297","doi":"10.1007/s11056-015-9468-6","title":"Conifer regeneration in managed temperate mixedwood stands: the balance between release and competition","year":2015,"lang":"en","type":"article","venue":"New Forests","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cegep de Sainte Foy; Ministère des Ressources naturelles et des Forêts","funders":"Ministère des Forêts, de la Faune et des Parcs","keywords":"Abies balsamea; Balsam; Dominance (genetics); Clearcutting; Scarification; Canopy; Temperate rainforest; Regeneration (biology); Biology; Environmental science; Ecology; Agronomy; Botany; Ecosystem","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004306383,0.00009146087,0.0001066431,0.00001936064,0.00006048234,0.00005097412,0.0001055049,0.0000474744,0.00004112262],"category_scores_gemma":[0.00005681538,0.00006743979,0.00001188124,0.0001336706,0.00005792258,0.0002131754,0.00005525093,0.00009351783,0.0001735096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001315634,"about_ca_system_score_gemma":0.00001402152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522832,"about_ca_topic_score_gemma":0.008889454,"domain_scores_codex":[0.9991472,0.0001344601,0.0001469045,0.0001984608,0.0002157344,0.0001572555],"domain_scores_gemma":[0.9995911,0.00005087656,0.00005023517,0.0001909781,0.000005350982,0.0001114697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002206641,0.00001345328,0.9875302,0.000009215025,0.000004011747,0.000008214443,0.0003828484,0.0006673026,0.0008136706,0.000403834,0.006445937,0.003699247],"study_design_scores_gemma":[0.001130396,0.0001054663,0.9827057,0.00003919155,0.00000739323,0.000006866147,0.00004588454,0.00804573,0.001481627,0.001452771,0.004845886,0.0001330945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966486,0.00008360395,0.0003974286,0.0009308704,0.00009859517,0.0003355095,0.000005173595,0.00002588345,0.001474388],"genre_scores_gemma":[0.9990592,0.000008082238,0.0001128955,0.0001045466,0.00009634971,0.00001445267,0.00001658424,0.0000099744,0.0005779251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007378427,"threshold_uncertainty_score":0.4960524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337004207264657,"score_gpt":0.2222893162427653,"score_spread":0.2089192741701187,"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."}}