{"id":"W245707327","doi":"10.3917/inso.145.0026","title":"Les indicateurs dans les grandes enquêtes nationales statistiques","year":2008,"lang":"fr","type":"article","venue":"Informations sociales","topic":"Diverse Cultural and Historical Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Political science; Geography; Sociology; 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":[0.01612448,0.0003467068,0.0007388459,0.01048479,0.002181583,0.004260403,0.0005549986,0.0004638654,0.006786042],"category_scores_gemma":[0.03113885,0.000525192,0.0005933634,0.0193653,0.002003378,0.001698322,0.001688476,0.001596022,0.001056871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005416979,"about_ca_system_score_gemma":0.004248963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09419505,"about_ca_topic_score_gemma":0.1294627,"domain_scores_codex":[0.9862271,0.006145514,0.001631139,0.001568256,0.003450166,0.0009778854],"domain_scores_gemma":[0.9261869,0.0412108,0.01022491,0.004133817,0.01659433,0.001649374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00033495,0.00007621703,0.7350702,0.0009392463,0.0005152042,0.0002727168,0.06358796,0.002190477,0.002450167,0.06600574,0.01606998,0.1124873],"study_design_scores_gemma":[0.00001265597,0.00007811993,0.7835094,0.0003257991,0.0001367112,0.0002701375,0.02404079,0.00102357,0.001411016,0.003138402,0.1859758,0.00007757774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009134,0.01172133,0.005854546,0.006442778,0.0003664905,0.00004285024,0.01209882,0.0002312513,0.06232863],"genre_scores_gemma":[0.9664078,0.004754006,0.003915453,0.0002027217,0.0003229282,0.0001261449,0.005049097,0.0001276236,0.01909427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09419505,"threshold_uncertainty_score":0.1872936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1472033561620069,"score_gpt":0.3295536919780816,"score_spread":0.1823503358160747,"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."}}