{"id":"W7164836864","doi":"10.34745/numerev_2780","title":"« Ressentir, surveiller et comprendre un corps qui change pour s'adapter »","year":2025,"lang":"fr","type":"article","venue":"NumeRev","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Modalities; Context (archaeology); Qualitative research; Control (management); Adaptation (eye)","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":[0.005119739,0.0008129432,0.000448216,0.001862234,0.004271253,0.009360236,0.001819816,0.003919749,0.01572745],"category_scores_gemma":[0.01932057,0.0005755482,0.00102061,0.0009500029,0.008484573,0.01175769,0.006281923,0.003755105,0.007208989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002094612,"about_ca_system_score_gemma":0.006387008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0107775,"about_ca_topic_score_gemma":0.01546731,"domain_scores_codex":[0.9952434,0.001880316,0.0002585254,0.0006425506,0.001510489,0.00046477],"domain_scores_gemma":[0.99051,0.003270278,0.001350338,0.001097036,0.002348813,0.001423453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001620635,0.0003602575,0.03827283,0.001218474,0.00008174702,0.005053815,0.3042441,0.0003812569,0.01280918,0.06412281,0.05669321,0.5166003],"study_design_scores_gemma":[0.00001974234,0.0004356528,0.01198012,0.001859905,0.0001316031,0.009589217,0.149024,0.0009788834,0.00763496,0.02275832,0.7954056,0.0001820915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3248339,0.02307427,0.1789693,0.117054,0.004893783,0.0006657632,0.0005394915,0.003763725,0.3462057],"genre_scores_gemma":[0.6658109,0.01648842,0.1281171,0.01942018,0.0008231475,0.0003895924,0.0005119957,0.001058726,0.16738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01572745,"threshold_uncertainty_score":0.0526135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3215963843162025,"score_gpt":0.4808029986390664,"score_spread":0.1592066143228639,"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."}}