{"id":"W6967046959","doi":"10.48782/e-jiref-10-2-71","title":"La fidélité des scores totaux et la fidélité des scores logits : le cas du modèle de Rasch","year":2024,"lang":"fr","type":"peer-review","venue":"Association pour le Développement des Méthodologies d’Évaluation en Éducation - Europe","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université de Montréal","funders":"","keywords":"Rasch model; Context (archaeology); Measure (data warehouse); Definiteness","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05075739,0.001096094,0.001143438,0.0006675461,0.001737644,0.002572479,0.0017538,0.0008196654,0.0001919072],"category_scores_gemma":[0.06514201,0.001155985,0.0005212191,0.001901936,0.000566421,0.001462868,0.001010569,0.002046396,0.0006656162],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004347235,"about_ca_system_score_gemma":0.007879662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00323077,"about_ca_topic_score_gemma":0.00122061,"domain_scores_codex":[0.9594303,0.03382639,0.001833404,0.001779458,0.001741138,0.001389342],"domain_scores_gemma":[0.9809247,0.01287777,0.002047606,0.00104066,0.002821055,0.0002882552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003500451,0.001028266,0.04351806,0.004618173,0.0008796431,0.00006093775,0.09281008,0.01871038,0.0002335246,0.04042695,0.2264762,0.5712028],"study_design_scores_gemma":[0.001178733,0.000319756,0.4841785,0.007620246,0.0007927671,0.0001904963,0.00259008,0.009130434,0.0003178131,0.03079326,0.4610833,0.001804643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06859445,0.0257716,0.6510633,0.2385988,0.004584933,0.001969581,0.0001357114,0.00184246,0.007439144],"genre_scores_gemma":[0.1747824,0.04815691,0.6267917,0.006127171,0.001357385,0.001218303,0.002545306,0.0004319423,0.1385889],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5693982,"threshold_uncertainty_score":0.999562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2787726954257982,"score_gpt":0.4089917961084948,"score_spread":0.1302191006826966,"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."}}