{"id":"W4307351008","doi":"10.4000/dms.8168","title":"L’évaluation sous surveillance par caméra","year":2022,"lang":"fr","type":"article","venue":"Distances et médiations des savoirs","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004152291,0.000966368,0.0005809388,0.00153069,0.0009989908,0.003046299,0.0006949542,0.0009712781,0.02053701],"category_scores_gemma":[0.01819448,0.0003349322,0.0007101385,0.0009547389,0.0008271253,0.001783926,0.001665734,0.0008478549,0.003471967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812801,"about_ca_system_score_gemma":0.002374157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03159389,"about_ca_topic_score_gemma":0.04933033,"domain_scores_codex":[0.9940662,0.00208953,0.0003112686,0.0007472415,0.002348187,0.000437435],"domain_scores_gemma":[0.9844527,0.00465165,0.0009623817,0.0007355092,0.008523119,0.000674651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002945907,0.0008930436,0.09827158,0.004487853,0.0002918886,0.001640852,0.03348355,0.004788917,0.1333148,0.00525519,0.03452574,0.6801007],"study_design_scores_gemma":[0.0002387967,0.006619425,0.572602,0.002183354,0.0005055591,0.001995163,0.04404382,0.03073795,0.09263942,0.002095206,0.2457739,0.0005654662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8350864,0.002587714,0.05272523,0.001832817,0.000741342,0.002068256,0.00218343,0.001503431,0.1012715],"genre_scores_gemma":[0.8970163,0.001683142,0.04896817,0.0009088545,0.0001498526,0.0009559831,0.001425303,0.0003793145,0.048513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03159389,"threshold_uncertainty_score":0.06870317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08338975290386688,"score_gpt":0.3101737919052673,"score_spread":0.2267840390014005,"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."}}