{"id":"W1584408917","doi":"","title":"Fécondité et incitatifs fiscaux : quelles conclusions pouvons-nous en tirer?","year":2004,"lang":"fr","type":"article","venue":"CIRANO Project Reports","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002014489,0.0005406329,0.0006732277,0.0002493043,0.001199453,0.0002159617,0.0004250438,0.0006988639,0.0002196331],"category_scores_gemma":[0.0007740657,0.000563741,0.0003705404,0.001261334,0.0009910201,0.0005197268,0.0002877247,0.0006603161,0.0001387391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008318656,"about_ca_system_score_gemma":0.005406195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02229236,"about_ca_topic_score_gemma":0.009953123,"domain_scores_codex":[0.9950995,0.0006840285,0.001106854,0.001013118,0.0009659379,0.001130497],"domain_scores_gemma":[0.9974942,0.000347135,0.0006405302,0.0008042863,0.000359715,0.0003541975],"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":[0.00003597239,0.001826934,0.08067448,0.0004505619,0.0005124395,0.009750788,0.5935624,0.00141691,0.001644049,0.2759379,0.01588235,0.01830515],"study_design_scores_gemma":[0.002278131,0.0008096787,0.04778261,0.0009984629,0.000696338,0.002556784,0.1681821,0.0002427499,0.0002527013,0.129202,0.6439797,0.003018761],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8117119,0.007859394,0.001476906,0.01049927,0.008587494,0.001788035,0.0001333664,0.0003907389,0.1575529],"genre_scores_gemma":[0.9655558,0.002718898,0.003477897,0.001821705,0.0007319774,0.00009351137,0.0001142388,0.00009368917,0.02539224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6280974,"threshold_uncertainty_score":0.9996814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02328810135310056,"score_gpt":0.3170254510613007,"score_spread":0.2937373497082001,"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."}}