{"id":"W7019477254","doi":"","title":"Impacts de l’hétérogénéité du paysage sur le couvert nival
\\ndes environnements agro-forestiers et boréals dans l’est du Canada = Impact of landscape heterogeneity on snow cover in
\\nagro-forested and boreal environments in eastern Canada","year":2023,"lang":"fr","type":"other","venue":"Le dépôt institutionnel (Université du Québec à Trois-Rivières)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snow cover; Snow; Boreal; Land cover; Climate change","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":[0.0003403893,0.0002141157,0.0002924343,0.0005681338,0.00154904,0.001492075,0.0006437108,0.0003505366,0.009649497],"category_scores_gemma":[0.0007704851,0.0001795071,0.0005694944,0.0009992098,0.0008574083,0.0003829731,0.001006745,0.0003416647,0.0003627977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01948425,"about_ca_system_score_gemma":0.01754151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936853,"about_ca_topic_score_gemma":0.9979603,"domain_scores_codex":[0.9993235,0.0000810964,0.00001637623,0.00008177346,0.0001604816,0.0003369286],"domain_scores_gemma":[0.9991819,0.0001015348,0.00009422624,0.00003883001,0.000306433,0.0002770063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003415259,0.00006325841,0.9570657,0.00006937076,0.0002807135,0.0002670181,0.001135552,0.005608149,0.001743829,0.003118047,0.007583437,0.02272349],"study_design_scores_gemma":[0.000008614652,0.00001388175,0.9931679,0.00001759581,0.00002870998,0.00002536524,0.001357728,0.0009341023,0.0001908084,0.0001828732,0.004061688,0.00001069479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784102,0.0004682196,0.0002102763,0.0008241172,0.0000152286,0.00001981076,0.006755428,0.00002285584,0.01327381],"genre_scores_gemma":[0.9885462,0.0002820893,0.0002160703,0.0001187713,0.00000463064,0.000009706167,0.001544453,0.00001835857,0.009259832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01948425,"threshold_uncertainty_score":0.1413688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00830362618063566,"score_gpt":0.1882156545637815,"score_spread":0.1799120283831458,"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."}}