{"id":"W1506516634","doi":"10.7202/1012978ar","title":"Mesurer la mobilité sans registre de population en France au xixe siècle : l’apport des registres de successions à l’étude des migrations des ruraux","year":2012,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001640818,0.0003224018,0.0002564868,0.002539062,0.0008456152,0.001249712,0.0004906838,0.0004710623,0.00245514],"category_scores_gemma":[0.002495778,0.0001443591,0.0004525149,0.002028707,0.0004761887,0.0006386796,0.0006540611,0.0003145111,0.000464198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408988,"about_ca_system_score_gemma":0.0009716168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1234981,"about_ca_topic_score_gemma":0.1903767,"domain_scores_codex":[0.999097,0.00030876,0.00003777392,0.0002322327,0.0001869452,0.0001372871],"domain_scores_gemma":[0.9982838,0.0004635697,0.0005493148,0.0001376193,0.0004797619,0.0000858995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001561942,0.00003407455,0.8530245,0.000144413,0.0002078519,0.0003409715,0.01990212,0.001544186,0.002958917,0.00296918,0.001055714,0.1176618],"study_design_scores_gemma":[0.000002572772,0.0000784666,0.9880316,0.00004028777,0.00002310939,0.0001440756,0.002763321,0.0003824804,0.0003076962,0.000132243,0.008081099,0.00001315855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912465,0.001688952,0.002076172,0.0003004037,0.00001664833,0.00001414773,0.000466285,0.00002737024,0.004163504],"genre_scores_gemma":[0.9921865,0.0008966624,0.001961308,0.00005052526,0.00001955233,0.00001586127,0.0004766886,0.00001452984,0.004378431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1234981,"threshold_uncertainty_score":0.2455586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265517141994631,"score_gpt":0.2381306429067853,"score_spread":0.225475471486839,"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."}}