{"id":"W2141146120","doi":"10.7202/011205ar","title":"Revenus sur le cycle de vie et inégalités entre générations : une analyse sur des données biographiques malgaches","year":2005,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001696245,0.0005490132,0.0006340768,0.0009570578,0.002304027,0.0002923219,0.0005555382,0.0005528755,0.0001211882],"category_scores_gemma":[0.0004916815,0.00061168,0.0008196317,0.004780998,0.004756627,0.001104379,0.000061997,0.000604796,0.0000244735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000439957,"about_ca_system_score_gemma":0.001338778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5785226,"about_ca_topic_score_gemma":0.9473571,"domain_scores_codex":[0.9956519,0.001093001,0.0007443714,0.0007191414,0.0005157908,0.001275784],"domain_scores_gemma":[0.9976013,0.0005239134,0.0003866863,0.0005044799,0.0004309891,0.0005526597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003466893,0.000807023,0.2647835,0.0001726366,0.0009659234,0.0000532183,0.6130118,0.0003068183,0.0002501477,0.05574469,0.04380079,0.02006872],"study_design_scores_gemma":[0.001401428,0.0002221904,0.4100752,0.0005599762,0.001243539,0.00003488979,0.04704499,0.0004425776,0.001017127,0.05442518,0.4817588,0.001774076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8704777,0.0968464,0.001069635,0.02558866,0.0003517796,0.0003784367,0.0001317148,0.0002717744,0.004883933],"genre_scores_gemma":[0.9037329,0.0862476,0.003212737,0.001706478,0.0008589886,0.00008794107,0.00004846594,0.0000594412,0.004045439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5659668,"threshold_uncertainty_score":0.9996334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253127236939204,"score_gpt":0.2601393508831332,"score_spread":0.2348266271892128,"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."}}