{"id":"W4388015084","doi":"10.52358/mm.vi16.362","title":"La piste de l’éducation à, par et pour la prudence numérique : un outil pour professionnaliser les enseignants","year":2023,"lang":"fr","type":"article","venue":"Médiations et médiatisations","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Prudence; Philosophy; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01689172,0.0006946189,0.0005713179,0.002225923,0.009642786,0.02098965,0.001361613,0.004492833,0.01121948],"category_scores_gemma":[0.03535181,0.0003900357,0.0004847564,0.00199525,0.03582076,0.01891234,0.01135715,0.007849284,0.001472241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007209146,"about_ca_system_score_gemma":0.0152728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008339256,"about_ca_topic_score_gemma":0.01217733,"domain_scores_codex":[0.9863201,0.008665658,0.0003768078,0.0009053324,0.002860959,0.0008711692],"domain_scores_gemma":[0.9699039,0.01971005,0.002387662,0.002142063,0.003176847,0.002679384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008016972,0.00004655336,0.003772464,0.0002986383,0.00001325635,0.0002087089,0.07743608,0.0001456295,0.0004956248,0.8374836,0.01326204,0.06675715],"study_design_scores_gemma":[0.00003763235,0.0001016888,0.008083797,0.002168608,0.00002224806,0.0004831461,0.07819099,0.000521684,0.000987493,0.2398937,0.6694026,0.0001064319],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0771469,0.03609774,0.03104751,0.5212774,0.006248304,0.00009356694,0.00009641865,0.000198377,0.3277938],"genre_scores_gemma":[0.8940336,0.01698247,0.0105534,0.01801751,0.002824698,0.0001787546,0.00004297436,0.0002060147,0.0571605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02098965,"threshold_uncertainty_score":0.089333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2950213807027937,"score_gpt":0.4727464251670878,"score_spread":0.1777250444642942,"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."}}