{"id":"W4309447720","doi":"10.4000/e-spania.45452","title":"Richesse et promotion sociale - Introduction","year":2022,"lang":"fr","type":"article","venue":"e-Spania","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Promotion (chess); Computer science; Geography; 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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001766273,0.0001388553,0.0001799104,0.00003176226,0.001975551,0.0001261746,0.0003911813,0.00009846628,0.01350696],"category_scores_gemma":[0.0002026868,0.0001664921,0.00011543,0.001429038,0.0004462335,0.0006419249,0.0001753558,0.0004009383,0.0004174337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000783951,"about_ca_system_score_gemma":0.0005540478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02177433,"about_ca_topic_score_gemma":0.008295665,"domain_scores_codex":[0.9972001,0.0006734927,0.0002202691,0.0004345664,0.0009603194,0.0005112215],"domain_scores_gemma":[0.9993243,0.0000497315,0.0002716177,0.0001551888,0.00008267022,0.0001165386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001456357,0.0004487669,0.001264584,0.00001620718,0.00002197137,0.000008323599,0.04177829,0.0001609924,0.0003465769,0.3455632,0.5596608,0.0507157],"study_design_scores_gemma":[0.000150927,0.0001554787,0.008792523,0.000005396043,0.00002315642,0.000003085052,0.01043029,0.00008179582,0.00003605464,0.0152192,0.9648919,0.0002102157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3853864,0.00346051,0.0001871764,0.554232,0.01940696,0.0004554422,0.0000821659,0.0001253747,0.03666394],"genre_scores_gemma":[0.6963306,0.0004759141,0.0002560079,0.0008105294,0.006366344,0.00007444627,0.00001567153,0.00001910534,0.2956513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5534215,"threshold_uncertainty_score":0.9993237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03463751695984153,"score_gpt":0.3094634698342484,"score_spread":0.2748259528744069,"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."}}