{"id":"W1566185578","doi":"10.4000/books.editionscnrs.2936","title":"Contrôler l’information politique sous de Gaulle : les productions gouvernementales","year":2007,"lang":"fr","type":"book-chapter","venue":"CNRS Éditions eBooks","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0001954124,0.0005041136,0.000527931,0.0002277725,0.02800152,0.0002445453,0.000199411,0.0003528987,0.008075356],"category_scores_gemma":[0.00003802661,0.0004580083,0.0006482798,0.00002022499,0.00337431,0.000247249,0.00008930467,0.0005788655,0.0006858454],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003837553,"about_ca_system_score_gemma":0.00008623196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005181952,"about_ca_topic_score_gemma":0.005808878,"domain_scores_codex":[0.9979184,0.00004569251,0.0007807137,0.0003273348,0.0003499977,0.0005778174],"domain_scores_gemma":[0.9984429,0.0001009513,0.000383394,0.0002880399,0.0005581857,0.0002265115],"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":[0.000008811408,0.00005214753,0.000005796573,0.00008822257,0.000430438,0.000009086011,0.01606971,0.0000123991,0.000005946907,0.9244156,0.05469579,0.004206005],"study_design_scores_gemma":[0.0002371253,0.00008758885,0.00002190982,0.0001407708,0.0006115874,0.00001874818,0.008319897,0.00001399829,0.00001559145,0.03356537,0.9564168,0.0005505607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002509987,0.0008430492,0.0007548479,0.03098015,0.001005972,0.0006700017,0.001531208,0.0002008124,0.961504],"genre_scores_gemma":[0.07135554,0.00272284,0.0002651184,0.0008053293,0.00347834,0.0001765383,0.0008674783,0.00006082345,0.920268],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9017211,"threshold_uncertainty_score":0.9999865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334063397577606,"score_gpt":0.2306535293755001,"score_spread":0.1972471896177395,"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."}}