{"id":"W2320226899","doi":"10.5558/tfc2014-015","title":"Growth dynamics of successive post-fire cohorts of black spruce: Is site potential reduced?","year":2014,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec); Université du Québec à Chicoutimi","funders":"Université du Québec à Chicoutimi","keywords":"Taiga; Black spruce; Woodland; Forestry; Geography; Reforestation; Environmental science; Ecology; Boreal; Forest regeneration; Crown (dentistry); Forest cover; Secondary forest; Physical geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003858386,0.000168465,0.0002712029,0.00001877303,0.00009070915,0.00001526404,0.0005495098,0.0001003529,0.0005981587],"category_scores_gemma":[0.00008096208,0.0001258783,0.0001172316,0.0002123757,0.0005573614,0.0001888411,0.0002939786,0.0001484838,0.0002630542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002070104,"about_ca_system_score_gemma":0.00002917824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004519234,"about_ca_topic_score_gemma":0.000491991,"domain_scores_codex":[0.9985162,0.0001188508,0.0003415504,0.0002747753,0.000425102,0.0003234951],"domain_scores_gemma":[0.9988475,0.0001056808,0.0003250754,0.0006114734,0.00003131979,0.00007891608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005439027,0.0009445475,0.3979159,0.001191375,0.0003170432,0.0000400762,0.005485604,0.02039261,0.5383496,0.004013544,0.01320981,0.01759595],"study_design_scores_gemma":[0.001021292,0.0006606395,0.3268208,0.0001335196,0.00009546036,0.0000330255,0.0001488394,0.5562472,0.1128764,0.001461697,0.0001347862,0.0003663533],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965687,0.00003985933,0.0001943767,0.0005381007,0.0001714282,0.0003344698,0.00005855258,0.00002677836,0.002067711],"genre_scores_gemma":[0.999525,0.000008515665,0.00005774783,0.00009555669,0.00006931328,0.000006623229,0.00001891018,0.00002651376,0.0001917797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5358546,"threshold_uncertainty_score":0.6831761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002896825691447007,"score_gpt":0.1983670069178386,"score_spread":0.1954701812263916,"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."}}