{"id":"W4417527691","doi":"","title":"Exploratory study on the place of generative AI among future education professionals in initial training in French-speaking territories","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Exploratory research; Training (meteorology); Qualitative research; Generative grammar; Experiential learning","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":[],"consensus_categories":[],"category_scores_codex":[0.001239747,0.0002545573,0.0003188235,0.00049916,0.0001120476,0.0001403087,0.001193875,0.0002110505,0.00001985881],"category_scores_gemma":[0.0002961921,0.0001934273,0.00005155328,0.0006230179,0.00008265311,0.0004593242,0.0006538233,0.001031022,0.000002462441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002970251,"about_ca_system_score_gemma":0.003405951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001787356,"about_ca_topic_score_gemma":0.01974462,"domain_scores_codex":[0.9971354,0.0008729873,0.0007317687,0.0006243413,0.0004234217,0.0002120843],"domain_scores_gemma":[0.9981287,0.0005096347,0.0003454525,0.0007142859,0.000269477,0.00003243886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001119766,0.001352432,0.01945386,0.00004763204,0.00002259622,0.000002636253,0.9137722,0.003512653,0.00002629435,0.03456055,0.0008148958,0.02642304],"study_design_scores_gemma":[0.0001295211,0.0001690845,0.06484826,0.002500442,0.0000121679,4.496176e-7,0.869249,0.01770309,0.01271876,0.03190424,0.0001581319,0.000606877],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681018,0.00007631345,0.01197986,0.005921856,0.009966623,0.001793385,0.000005646924,0.00004755891,0.002106961],"genre_scores_gemma":[0.9956886,0.000003014345,0.001942402,0.0004920569,0.0008286632,0.0008724064,0.00001085406,0.000007707317,0.0001543645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04539439,"threshold_uncertainty_score":0.9981425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08525550860790111,"score_gpt":0.3965528215250533,"score_spread":0.3112973129171522,"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."}}