{"id":"W7043297481","doi":"","title":"Spatial and temporal dynamics of fire and vegetation during Holocene in coniferous boreal forest (Quebec-Labrador)","year":2016,"lang":"fr","type":"article","venue":"","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Black spruce; Holocene; Taiga; Vegetation (pathology); Snow cover","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0002042448,0.0001253125,0.0001596767,0.0007348523,0.0007132511,0.0006852507,0.0005113084,0.0003711805,0.001852532],"category_scores_gemma":[0.0006170689,0.0001400544,0.0001556878,0.0009997126,0.0003684289,0.0001885321,0.0002424094,0.0002428688,0.0002213045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008074684,"about_ca_system_score_gemma":0.002410081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9789444,"about_ca_topic_score_gemma":0.990364,"domain_scores_codex":[0.9999038,0.000007670194,0.000004206865,0.00002883605,0.00001593105,0.00003949612],"domain_scores_gemma":[0.9995542,0.00007054875,0.00009510707,0.00002265878,0.0001589939,0.00009855356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001596073,0.00004314556,0.9840158,0.00003255617,0.00005867527,0.0001343099,0.0009818427,0.001578192,0.002033966,0.0001288743,0.001077317,0.009755705],"study_design_scores_gemma":[0.000001582206,0.000003368153,0.9986895,0.000004872575,0.000004440225,0.000008436102,0.0002113102,0.0006927578,0.00002824629,0.000004225961,0.0003488801,0.000002451646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980975,0.0001951814,0.00005595552,0.00005933393,0.000002982409,0.000004567546,0.0008806969,0.000006198281,0.0006976127],"genre_scores_gemma":[0.9981274,0.0001071327,0.0000894352,0.00001693485,0.000001863696,0.00000660911,0.0008467321,0.000002846539,0.0008010168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02105558,"threshold_uncertainty_score":0.05858624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003962029172701999,"score_gpt":0.1900093234872259,"score_spread":0.1860472943145239,"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."}}