{"id":"W1968199662","doi":"10.7202/055738ar","title":"La longue marche des technocrates","year":2005,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003295453,0.000436982,0.0005108131,0.0002399282,0.001132255,0.0001935882,0.0005589262,0.001443296,0.0003939787],"category_scores_gemma":[0.0007702355,0.0004614045,0.0006340978,0.001960776,0.008123253,0.0005818721,0.0001496932,0.001204286,0.0002230011],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005878443,"about_ca_system_score_gemma":0.0002585915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08059423,"about_ca_topic_score_gemma":0.09497042,"domain_scores_codex":[0.9952083,0.002352875,0.0004322994,0.0005040132,0.0004746206,0.001027923],"domain_scores_gemma":[0.9974259,0.001584387,0.0001697947,0.0002600291,0.0002694868,0.0002904251],"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":[0.000007973395,0.0004770606,0.05748272,0.000179248,0.0004064339,0.00001278145,0.2148987,0.000003216861,0.00008363743,0.1419413,0.05258001,0.5319269],"study_design_scores_gemma":[0.0002114819,0.0001027937,0.02760544,0.000331325,0.0001251217,0.000003735162,0.01048674,0.00001733007,0.000291121,0.22419,0.7360156,0.0006192709],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.233024,0.4245511,0.0004053404,0.0238546,0.000690037,0.0004591469,0.0000343879,0.0007784037,0.316203],"genre_scores_gemma":[0.7154124,0.2120975,0.01869619,0.0005783949,0.002290567,0.0000978914,0.000007165103,0.00007119921,0.05074863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6834356,"threshold_uncertainty_score":0.999853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1832357802383391,"score_gpt":0.3624827146590456,"score_spread":0.1792469344207064,"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."}}