{"id":"W6911978855","doi":"10.5281/zenodo.14635334","title":"RECARN-UQAM : Réseau des Étudiants Chercheurs de l'Alliance de Recherche Numérique a l'UQAM","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Dementia Research Alliance; Université du Québec à Montréal","funders":"","keywords":"Identification (biology); Order (exchange); Research methodology; Context (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08338895,0.001285973,0.002717702,0.003928048,0.003894394,0.01101932,0.003124528,0.003368905,0.02132456],"category_scores_gemma":[0.07957128,0.0008338033,0.001446898,0.004340972,0.003451848,0.005572065,0.01228738,0.005040758,0.01020799],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008003728,"about_ca_system_score_gemma":0.02815321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03587097,"about_ca_topic_score_gemma":0.02757552,"domain_scores_codex":[0.9486815,0.02384071,0.001680829,0.003663163,0.01807148,0.004062216],"domain_scores_gemma":[0.9068031,0.02905955,0.004763815,0.01531571,0.02975938,0.01429842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003139023,0.001883574,0.05191224,0.001782185,0.000255148,0.001544598,0.01974681,0.007032155,0.01387194,0.1080824,0.2455506,0.5451994],"study_design_scores_gemma":[0.0005051236,0.0007580179,0.027917,0.0008833135,0.00007310886,0.0006180776,0.006364344,0.006086356,0.00489063,0.01190655,0.9398562,0.0001412318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3379705,0.02717283,0.2593817,0.09269861,0.01071192,0.007480931,0.03181631,0.01237554,0.2203917],"genre_scores_gemma":[0.3787212,0.008465918,0.2866715,0.00656936,0.002102829,0.008094341,0.03119651,0.008157276,0.2700211],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9919963,"threshold_uncertainty_score":0.4410082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2025473711391035,"score_gpt":0.3607323743777181,"score_spread":0.1581850032386146,"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."}}