{"id":"W6950663174","doi":"10.5683/sp3/cocdpi","title":"Données de réplication pour : Reconnaissance des compétences et valorisation des parcours d’apprentissage à l’ère du numérique","year":2025,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Electrostatics and Colloid Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Belgica; Pilotage; Context (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003227822,0.003186713,0.00157213,0.005450988,0.001583973,0.003793044,0.003228322,0.003443729,0.03606414],"category_scores_gemma":[0.02416953,0.0008009197,0.002850144,0.005796602,0.0007012095,0.002070965,0.002454116,0.002320739,0.05429759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002429036,"about_ca_system_score_gemma":0.004900487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04496039,"about_ca_topic_score_gemma":0.08759601,"domain_scores_codex":[0.9950808,0.0008108362,0.0007413403,0.001371632,0.001603541,0.000391784],"domain_scores_gemma":[0.9902976,0.003738602,0.0005485479,0.002434624,0.00257152,0.0004090129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002327821,0.00006693328,0.003083115,0.003027392,0.0001176317,0.00008578656,0.0001148171,0.001053273,0.0008872646,0.001286548,0.9765615,0.01348283],"study_design_scores_gemma":[0.0002338982,0.00005005722,0.00708088,0.0005892995,0.00008522079,0.0001716229,0.0001822514,0.002138539,0.002202041,0.002491768,0.9847077,0.0000667668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007378133,0.0006031852,0.0007294411,0.0002055914,0.0001080529,0.0000451181,0.9939117,0.001719825,0.00193934],"genre_scores_gemma":[0.001867149,0.0002296363,0.00255271,0.00008034153,0.00001811306,0.0001827272,0.9933723,0.0001763386,0.001520562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04496039,"threshold_uncertainty_score":0.1206466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427822541916748,"score_gpt":0.2888035814491002,"score_spread":0.2645253560299328,"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."}}