{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002130175,0.0007279918,0.0008608707,0.001757234,0.0009726802,0.002754211,0.00152165,0.0009907382,0.009709356],"category_scores_gemma":[0.01061085,0.0003255314,0.00104447,0.001295018,0.000971604,0.001996335,0.002147153,0.001408901,0.002929406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115417,"about_ca_system_score_gemma":0.001068348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009057378,"about_ca_topic_score_gemma":0.01094764,"domain_scores_codex":[0.9988897,0.0003123035,0.00004786129,0.0002902,0.0003291989,0.0001306564],"domain_scores_gemma":[0.9967309,0.001973121,0.000224705,0.0005669041,0.0003880844,0.0001162543],"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":[0.001002971,0.0001004357,0.03308966,0.0003373353,0.0002364804,0.0001487202,0.001104328,0.05640934,0.005147764,0.02792058,0.01081235,0.8636901],"study_design_scores_gemma":[0.000145049,0.0003483375,0.03106272,0.0002084344,0.0001904983,0.0007346799,0.001760672,0.8406204,0.02105319,0.03566695,0.06809349,0.0001155975],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2942759,0.002296405,0.6654813,0.002288857,0.0004664953,0.0002211606,0.002903454,0.01197584,0.02009064],"genre_scores_gemma":[0.6884442,0.0004942791,0.2889943,0.000318201,0.0001695787,0.0002632713,0.002351976,0.0006064213,0.01835773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009709356,"threshold_uncertainty_score":0.03248101,"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."}}