{"id":"W7127336529","doi":"10.5281/zenodo.18054394","title":"OPTIMISER L'APPORT DES STAGES EM MILIEU DE PRATIQUE AU DÉVELOPPEMENT PROFESSIONNEL DES FUTUR(E)S ENSEIGNANT(E)S","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Chemistry Education and Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université du Québec à Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Work (physics); Context (archaeology); Data collection; Perspective (graphical)","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":[0.005295976,0.0007741901,0.0005084623,0.0009307407,0.001013725,0.004034361,0.001474302,0.001891149,0.02563314],"category_scores_gemma":[0.01473799,0.0005413143,0.0006123771,0.0005887782,0.0006331709,0.002702077,0.0027617,0.001580314,0.007301962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002115623,"about_ca_system_score_gemma":0.006315175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005084695,"about_ca_topic_score_gemma":0.005738218,"domain_scores_codex":[0.9960743,0.00140554,0.0001574426,0.00040384,0.001385081,0.0005737501],"domain_scores_gemma":[0.9913427,0.003201901,0.0006862514,0.0006454007,0.002800324,0.001323397],"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":[0.002341937,0.001286581,0.01455583,0.001378428,0.0001059718,0.0004168834,0.005149588,0.05150568,0.04993728,0.03453936,0.01473311,0.8240494],"study_design_scores_gemma":[0.0008669043,0.007012797,0.06081603,0.002974868,0.0004890378,0.0008798199,0.01815755,0.2417798,0.1804242,0.07929707,0.4068375,0.0004643507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3206139,0.005664635,0.4854306,0.01307031,0.0009307736,0.001936474,0.0008523682,0.003090218,0.1684108],"genre_scores_gemma":[0.6552732,0.002010941,0.2776077,0.0006578143,0.00009635978,0.0007812773,0.0005384255,0.0003814561,0.06265275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02563314,"threshold_uncertainty_score":0.08575147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08843659555027816,"score_gpt":0.3428767440343227,"score_spread":0.2544401484840446,"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."}}