{"id":"W397929105","doi":"10.7202/600640ar","title":"Un modèle d’analyse de généalogie ascendante","year":2008,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"History and Theory of Mathematics","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Art","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001986321,0.0008080608,0.001119259,0.0007973915,0.001259529,0.00005796067,0.0009844137,0.001090621,0.0009838968],"category_scores_gemma":[0.001579016,0.0009149333,0.001220364,0.001470943,0.004004314,0.0003140357,0.00009592363,0.001493685,0.0005097172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009053371,"about_ca_system_score_gemma":0.0009844238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008749398,"about_ca_topic_score_gemma":0.001045116,"domain_scores_codex":[0.9950865,0.0008390944,0.001062574,0.0007249333,0.0005961786,0.001690737],"domain_scores_gemma":[0.9954809,0.001357118,0.0005441431,0.001461311,0.0002238891,0.000932615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00028157,0.003399343,0.003754575,0.002550514,0.002958091,0.006162634,0.06981575,0.0003158504,0.001994872,0.7438077,0.1519912,0.01296796],"study_design_scores_gemma":[0.002232,0.0004110479,0.0005845585,0.0006899891,0.002127357,0.003757627,0.006535836,0.002092005,0.004576472,0.6440949,0.3308271,0.00207116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8780071,0.04451874,0.03913883,0.002030825,0.001577344,0.0006688882,0.0001920194,0.0006015156,0.03326472],"genre_scores_gemma":[0.8099055,0.01897693,0.113001,0.00264067,0.00116097,0.0001384108,0.00004387284,0.0004898908,0.05364277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1788359,"threshold_uncertainty_score":0.9999294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172937451918004,"score_gpt":0.2484843710137627,"score_spread":0.2167549964945826,"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."}}