{"id":"W1593096960","doi":"10.7202/010852ar","title":"La démographie des nonagénaires et des centenaires en Suisse","year":2005,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Geography; Humanities; Forestry; 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":[0.001126244,0.0003640949,0.000405258,0.003946132,0.001200054,0.001181164,0.0005640185,0.0003296806,0.005978941],"category_scores_gemma":[0.002999231,0.0001706227,0.0004002906,0.004871482,0.0005617916,0.0005530608,0.000683234,0.0004644126,0.0005273623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004538944,"about_ca_system_score_gemma":0.005544754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8444992,"about_ca_topic_score_gemma":0.9188705,"domain_scores_codex":[0.9993572,0.000128349,0.00004548121,0.0001149378,0.0001873401,0.0001666487],"domain_scores_gemma":[0.9977015,0.0003364408,0.0004054463,0.0001844445,0.001156537,0.0002156891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001332871,0.00003240235,0.9358907,0.0004416403,0.0002057474,0.0002316174,0.009636771,0.0003306468,0.001741035,0.001716441,0.003303447,0.04633623],"study_design_scores_gemma":[0.000001285335,0.00002771075,0.9901407,0.0000671001,0.00002317525,0.00006727515,0.002148669,0.0001055361,0.0001419457,0.00005068784,0.007217578,0.000008244559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672822,0.005384131,0.00161583,0.0006727363,0.00005509136,0.0001225909,0.007290591,0.00003914301,0.01753762],"genre_scores_gemma":[0.9749058,0.004089796,0.001215378,0.0001792558,0.00002644881,0.0001245343,0.003543653,0.00001620627,0.01589894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8444992,"threshold_uncertainty_score":0.3128332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441244049864872,"score_gpt":0.2918523612394875,"score_spread":0.2774399207408388,"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."}}