{"id":"W3172477127","doi":"","title":"Le census, ressort oublié de la machinerie républicaine","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Census; Geography; Mathematics; Demography; Sociology; Population","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":[0.0006251053,0.0003325516,0.0003547494,0.003125215,0.001079158,0.001624698,0.0003344673,0.0003407258,0.03658],"category_scores_gemma":[0.003352916,0.0002548477,0.0002413007,0.00639495,0.0005095235,0.001063408,0.000686231,0.001011483,0.007894631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003184122,"about_ca_system_score_gemma":0.00505144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2181654,"about_ca_topic_score_gemma":0.1619637,"domain_scores_codex":[0.9991715,0.0002270148,0.00007281156,0.0001401118,0.0002672761,0.0001213118],"domain_scores_gemma":[0.9989065,0.0003042121,0.0001620612,0.0001533332,0.0003828896,0.00009101531],"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":[0.0005969508,0.000127801,0.0602538,0.0007945087,0.00008797634,0.0005601727,0.002473914,0.003559895,0.003016407,0.08343249,0.5978391,0.247257],"study_design_scores_gemma":[0.00001860421,0.00002333749,0.08446714,0.0001110911,0.000006628655,0.0001671731,0.0007293079,0.0005921695,0.0007820311,0.001349973,0.9117355,0.00001711562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1778426,0.01210263,0.00963213,0.01109616,0.00199951,0.0003441458,0.3756731,0.001143253,0.4101665],"genre_scores_gemma":[0.362309,0.01085852,0.007877165,0.0009357955,0.0006192302,0.0005982943,0.1131436,0.0006910047,0.5029673],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2181654,"threshold_uncertainty_score":0.4337909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548248019931414,"score_gpt":0.2215833305097215,"score_spread":0.2061008503104073,"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."}}