{"id":"W2126301279","doi":"10.7202/1011538ar","title":"Microsimulation en démographie","year":2011,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Statistics Canada","funders":"","keywords":"Microsimulation; Geography; Engineering; Transport engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005342662,0.0008392064,0.0008733713,0.003360802,0.0009185433,0.0004380883,0.001648424,0.001447227,0.00143453],"category_scores_gemma":[0.001225241,0.0008594779,0.001378527,0.007423612,0.00289537,0.001192459,0.0001280868,0.001248775,0.0006746514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002290706,"about_ca_system_score_gemma":0.0005251533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01156789,"about_ca_topic_score_gemma":0.007028284,"domain_scores_codex":[0.991939,0.001301316,0.001866856,0.001609567,0.001583045,0.001700192],"domain_scores_gemma":[0.9943919,0.001404068,0.0007749167,0.001645203,0.0008191963,0.0009646898],"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":[0.0006747387,0.001681692,0.2217271,0.0002498938,0.0009317395,0.0003854069,0.07234059,0.001263669,0.002382645,0.127063,0.03922759,0.5320719],"study_design_scores_gemma":[0.003750311,0.001257069,0.1921785,0.0007303664,0.001535782,0.000376428,0.03411054,0.01673915,0.00150874,0.351862,0.392288,0.003663145],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8438751,0.06059476,0.05425604,0.002572853,0.006518625,0.0009032114,0.00022687,0.0005108804,0.03054167],"genre_scores_gemma":[0.9617183,0.01387663,0.01380141,0.001845951,0.0004885234,0.00007679124,0.00006063866,0.0001441767,0.007987562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5284088,"threshold_uncertainty_score":0.9998491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06898534656918358,"score_gpt":0.3131359984372464,"score_spread":0.2441506518680628,"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."}}