{"id":"W7104434983","doi":"10.71781/13149","title":"Modélisation par automate cellulaire de scénarios d'aménagement forestier dans une région rurale du sud du Québec","year":2005,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Process (computing); Identification (biology); Work (physics); Field (mathematics)","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":[0.00103206,0.001482025,0.001067018,0.0009203202,0.001369241,0.002438409,0.001573583,0.002337364,0.005012707],"category_scores_gemma":[0.002479067,0.001180041,0.001514169,0.001023155,0.0009785705,0.0009352793,0.0007026872,0.00133076,0.0005500155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008859984,"about_ca_system_score_gemma":0.005046973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7996395,"about_ca_topic_score_gemma":0.6969633,"domain_scores_codex":[0.9995834,0.000125987,0.00001933085,0.0001040191,0.00006621867,0.0001010729],"domain_scores_gemma":[0.9979096,0.001453417,0.00008580198,0.00008657206,0.0003457007,0.0001189554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003978447,0.00003339833,0.001286834,0.00001475453,0.00001872807,0.00003614574,0.00002328029,0.996671,0.0001932757,0.0002494969,0.000158605,0.001274673],"study_design_scores_gemma":[0.00001530726,0.00001256252,0.0005527331,0.000002671658,0.0000069254,0.000002947778,0.00002493502,0.9989249,0.0001504265,0.0001104908,0.0001919133,0.00000414586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9289773,0.0002579274,0.05117903,0.0006096202,0.00006349704,0.0002749207,0.004992963,0.001277285,0.01236751],"genre_scores_gemma":[0.9644144,0.0001475017,0.02727848,0.00008137432,0.00001268926,0.000267464,0.002629353,0.00009580203,0.005072925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2003605,"threshold_uncertainty_score":0.4030809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003574535667680748,"score_gpt":0.1517435352743555,"score_spread":0.1481689996066747,"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."}}