{"id":"W7029278203","doi":"","title":"Influence du climat provincial sur l’identification de restes humains en décomposition exposés en milieu naturel dans le sud du Québec : optimisation des méthodes de restauration et prélèvement des empreintes digitales","year":2023,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limiting; Poison control; Statistical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001556368,0.0006534786,0.0004565798,0.0007022159,0.009399078,0.0005694955,0.001541249,0.0007222582,0.000002307723],"category_scores_gemma":[0.001890644,0.0008290705,0.0003028313,0.0006664533,0.001188382,0.002807719,0.0005654437,0.0006635648,0.00003466121],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02403621,"about_ca_system_score_gemma":0.007589307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.26481,"about_ca_topic_score_gemma":0.3143559,"domain_scores_codex":[0.9952728,0.00113464,0.0008724154,0.00111549,0.0008809466,0.0007236892],"domain_scores_gemma":[0.9960938,0.001096342,0.0008876089,0.000735096,0.0009450003,0.0002421186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004746953,0.00064539,0.08505932,0.0007666933,0.0002578378,0.000866974,0.3262984,0.2114059,0.283291,0.08031382,0.0004011371,0.01021893],"study_design_scores_gemma":[0.0008757619,0.0003581179,0.770761,0.001546724,0.0002436378,0.0007949968,0.04153832,0.08687514,0.0886143,0.005939261,0.001321524,0.001131253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976902,0.0036276,0.09433689,0.001442584,0.0005452082,0.0007194647,0.00004165908,0.001095926,0.0005004263],"genre_scores_gemma":[0.9628693,0.0008250335,0.03118774,0.00005265148,0.0001683404,0.0001229171,0.0005063601,0.00006269471,0.004204945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6857016,"threshold_uncertainty_score":0.999416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110935003722969,"score_gpt":0.2063755433590375,"score_spread":0.1952820429867406,"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."}}