{"id":"W4213441932","doi":"10.1111/j.1752-1734.2007.00006.x","title":"NOTAS BIBLIOGRÁFICAS","year":2007,"lang":"fr","type":"article","venue":"Revista Internacional de Seguridad Social","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Welfare state; Social policy; Political science; Humanities; Poverty; Context (archaeology); State (computer science); Citizenship; Sociology; Economic history; Art; Law; History; Politics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002908722,0.0004456997,0.0005378824,0.0008523164,0.0009858677,0.0004246591,0.000852758,0.0007233644,0.001326608],"category_scores_gemma":[0.0002080371,0.0005281008,0.0006719648,0.003637771,0.001218046,0.0003686035,0.0001821322,0.000824649,0.00100535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129724,"about_ca_system_score_gemma":0.0005963962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333257,"about_ca_topic_score_gemma":0.0008020488,"domain_scores_codex":[0.9954391,0.0004561865,0.0008098196,0.0006029048,0.001155938,0.001536106],"domain_scores_gemma":[0.9981077,0.0003506728,0.0003490112,0.0002492839,0.0004007257,0.0005425783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007968097,0.0003393666,0.03015802,0.0001433831,0.0002098323,0.000233494,0.01901199,0.000005152531,0.0002421999,0.8966321,0.03437234,0.01857244],"study_design_scores_gemma":[0.0005499293,0.00008496464,0.1003578,0.0001644454,0.0001398317,0.00003480406,0.008749322,0.0001223826,0.00001999184,0.005163545,0.8839605,0.0006524638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8532717,0.009228412,0.01317709,0.009483943,0.006571544,0.0004116754,0.000333952,0.0001842489,0.1073374],"genre_scores_gemma":[0.9427701,0.003021378,0.001054197,0.002288398,0.009701441,0.000008343255,0.00004893723,0.00007610243,0.04103108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8914685,"threshold_uncertainty_score":0.9997725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756787828538369,"score_gpt":0.3262982705479326,"score_spread":0.2987303922625489,"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."}}