{"id":"W4318028278","doi":"10.3917/mouv.112.0147","title":"Instagram et la censure des corps sexisés","year":2023,"lang":"fr","type":"article","venue":"Mouvements","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Art; Humanities; Political science","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":[0.00315429,0.0001309304,0.0001337495,0.00007175032,0.0006679829,0.00006517379,0.000216165,0.0001922093,0.0004072358],"category_scores_gemma":[0.000444229,0.0001476461,0.00006660489,0.0007193823,0.001327361,0.0002164245,0.00005113132,0.0001966179,0.0006857902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061654,"about_ca_system_score_gemma":0.0002664643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008839172,"about_ca_topic_score_gemma":0.0003714277,"domain_scores_codex":[0.9977635,0.001029892,0.0002106504,0.0002476122,0.0003068442,0.0004415535],"domain_scores_gemma":[0.9987444,0.000789474,0.00009495966,0.0001256576,0.0001234538,0.0001221128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003190137,0.0003557061,0.1920657,0.0001069185,0.0001626856,0.000007832757,0.2064943,0.00007703443,0.00006284685,0.4682219,0.07094269,0.06149922],"study_design_scores_gemma":[0.0002895886,0.0000439287,0.1462415,0.00008710544,0.00002672607,8.693254e-7,0.1271413,0.00003954325,0.00001058289,0.03081926,0.6951053,0.0001943002],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8614395,0.0006308603,0.00006645878,0.01867564,0.006569143,0.0002434949,0.00009592404,0.0001850803,0.1120939],"genre_scores_gemma":[0.8904896,0.002342023,0.001003449,0.001198214,0.001249049,0.00004744161,0.0002016411,0.00002225522,0.1034463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6241626,"threshold_uncertainty_score":0.8814675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3388105019967315,"score_gpt":0.5140209673919849,"score_spread":0.1752104653952534,"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."}}