{"id":"W7094044780","doi":"","title":"Premiers pas vers l’inclusion&#13;\\net la diversité en enseignement :&#13;\\ntémoignages d’expériences de&#13;\\nfutures personnes enseignantes","year":2024,"lang":"fr","type":"article","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Futures contract; Professional qualification; Research methodology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002963841,0.0005278458,0.000315304,0.000183953,0.00673494,0.0001372926,0.0006584009,0.0005857595,0.0001038239],"category_scores_gemma":[0.0000424441,0.0005807681,0.0003844661,0.0003518978,0.0008399951,0.00007590648,0.001114471,0.0004640452,0.00002871348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002740873,"about_ca_system_score_gemma":0.001342883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025081,"about_ca_topic_score_gemma":0.003064276,"domain_scores_codex":[0.9972486,0.0002135232,0.0003355848,0.0009783584,0.0004458964,0.0007780062],"domain_scores_gemma":[0.9987727,0.0001074031,0.0001681138,0.0004558787,0.0001462013,0.0003496742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004375257,0.0003304053,0.002654683,0.0003397911,0.0008746021,0.001586514,0.0545295,0.002595444,0.8733121,0.01846772,0.02938287,0.01548889],"study_design_scores_gemma":[0.0006685943,0.0004602045,0.001874967,0.0004040558,0.0004338288,0.001238578,0.02434806,0.001326664,0.2571221,0.00151026,0.709758,0.0008545783],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7183646,0.2479984,0.01025164,0.002996013,0.0008802403,0.0006348275,0.0003593979,0.0002499564,0.01826491],"genre_scores_gemma":[0.957562,0.01541525,0.002685558,0.0003406176,0.0004948237,0.00005788589,0.0002184641,0.00004794685,0.02317746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6803752,"threshold_uncertainty_score":0.9996644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003153001069749744,"score_gpt":0.2059016058484524,"score_spread":0.2027486047787027,"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."}}