{"id":"W2047693800","doi":"10.3917/ethn.053.0425","title":"No Half Measures for Beauty Queens: Criteria for Beauty","year":2005,"lang":"fr","type":"article","venue":"Ethnologie française","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Political science; Art","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":[0.008114682,0.0004281082,0.0006224651,0.004350198,0.00340898,0.002735413,0.001731631,0.001030783,0.02330955],"category_scores_gemma":[0.02367924,0.0002790135,0.0009232975,0.002746999,0.004177094,0.001983288,0.004407449,0.001326637,0.002140372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002211406,"about_ca_system_score_gemma":0.003142468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009063149,"about_ca_topic_score_gemma":0.02468969,"domain_scores_codex":[0.9936684,0.001682768,0.0005808615,0.000489487,0.002799728,0.0007788543],"domain_scores_gemma":[0.9800986,0.00641,0.003010717,0.002244808,0.005599429,0.002636375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002560157,0.0007665181,0.5246946,0.001403957,0.0003439529,0.0009931853,0.06039898,0.002743879,0.004481476,0.1097532,0.06100524,0.2308548],"study_design_scores_gemma":[0.0002035025,0.0009148058,0.714233,0.0006348803,0.00008295144,0.0007212096,0.04597582,0.003877131,0.001291954,0.03452269,0.1973626,0.0001794948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5974587,0.001784438,0.02285954,0.003142884,0.0007202721,0.00406777,0.005169918,0.0001241007,0.3646723],"genre_scores_gemma":[0.945689,0.0002754234,0.02450309,0.0004089182,0.0001148164,0.003070974,0.002086835,0.000106869,0.02374412],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02330955,"threshold_uncertainty_score":0.07797825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06879775848603024,"score_gpt":0.2931559539173716,"score_spread":0.2243581954313413,"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."}}