{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0076784,0.0003933891,0.0004122391,0.0005108462,0.002455696,0.003064932,0.005026198,0.0004559943,0.004300739],"category_scores_gemma":[0.01029679,0.0004719426,0.0001803567,0.005412113,0.0006904781,0.001633416,0.003652065,0.001589876,0.007730672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003171424,"about_ca_system_score_gemma":0.0002297909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000342094,"about_ca_topic_score_gemma":0.0000350568,"domain_scores_codex":[0.9909303,0.005349749,0.0005886318,0.001175692,0.0005488583,0.001406827],"domain_scores_gemma":[0.9955664,0.0003116227,0.0002305701,0.00169216,0.00162069,0.0005785191],"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":[0.00007747269,0.0005426098,0.0002003937,0.0004281106,0.0002964981,0.0001565782,0.006203976,0.000396284,0.004000323,0.05957199,0.4397593,0.4883665],"study_design_scores_gemma":[0.0007082619,0.0001976095,0.002471668,0.0005334023,0.00005875577,0.0002151615,0.0008608226,0.01812429,0.002013788,0.01340223,0.9609554,0.0004585852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008362878,0.005046327,0.701412,0.04090106,0.0006108584,0.0009252798,0.0003404487,0.00170356,0.2406976],"genre_scores_gemma":[0.4826577,0.0298168,0.2332677,0.007212411,0.001605642,0.000002191828,0.002250858,0.007379427,0.2358073],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5211961,"threshold_uncertainty_score":0.9997732,"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."}}