{"id":"W2995918985","doi":"10.3390/f11010003","title":"Modelling Post-Disturbance Successional Dynamics of the Canadian Boreal Mixedwoods","year":2019,"lang":"en","type":"article","venue":"Forests","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Mitacs; Compute Canada","keywords":"Chronosequence; Spruce budworm; Disturbance (geology); Stand development; Dominance (genetics); Ecology; Taiga; Forest dynamics; Ecological succession; Environmental science; Boreal; Forest ecology; Silviculture; Geography; Basal area; Choristoneura fumiferana; Snag; Ecosystem; Biology; Tortricidae; Habitat","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0001519408,0.00009138519,0.0001034923,0.0000203117,0.00009629397,0.00001433934,0.0003940433,0.00006867787,0.0002595107],"category_scores_gemma":[0.00001482356,0.00006357276,0.00005438579,0.0001504918,0.00007853162,0.0001127175,0.00009244249,0.000109624,0.0002671421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004158882,"about_ca_system_score_gemma":0.00006227787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.553113,"about_ca_topic_score_gemma":0.9301003,"domain_scores_codex":[0.9990918,0.00003627333,0.0001376949,0.000180287,0.0003068383,0.0002470876],"domain_scores_gemma":[0.9994444,0.00003654552,0.00007594274,0.0003291194,0.00001039829,0.0001035816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004991598,0.00001101559,0.9607716,0.00001452293,0.000003425465,0.000001364284,0.00007620614,0.03731604,0.00005311131,0.0007328223,0.0004432094,0.0005716551],"study_design_scores_gemma":[0.00007133171,0.00001902027,0.5844704,0.00002577526,0.000002089475,0.000002990272,0.000004592069,0.4144015,0.00009666412,0.0002314075,0.0006125249,0.00006174274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823545,0.00001488946,0.00007570769,0.000302154,0.0004297479,0.0002623172,0.00005337558,0.000009947035,0.01649735],"genre_scores_gemma":[0.9987146,3.768819e-7,0.0001434144,0.00007564973,0.00001860353,0.000005923529,0.00002049189,0.00001286814,0.001008121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3770854,"threshold_uncertainty_score":0.4498629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003992319843963243,"score_gpt":0.1892075836104881,"score_spread":0.1852152637665249,"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."}}