{"id":"W3034964","doi":"10.1128/jcm.25.5.812-818.1987","title":"Por el pleno empleo","year":2009,"lang":"en","type":"article","venue":"Cambio 16","topic":"Employment, Labor, and Gender Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002158978,0.00008185732,0.000115753,0.00002869044,0.0005235244,0.0000414432,0.0001651026,0.00005563367,0.0002222268],"category_scores_gemma":[0.00008559519,0.00007478654,0.00005203509,0.0001585122,0.0001136575,0.00008573474,0.00001956022,0.00005834563,0.0001631406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007080063,"about_ca_system_score_gemma":0.0000728076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083135,"about_ca_topic_score_gemma":0.00240256,"domain_scores_codex":[0.9991269,0.00004745652,0.0001076279,0.0001758885,0.0002179739,0.0003241212],"domain_scores_gemma":[0.9996418,0.00003013795,0.0000369743,0.0001376794,0.00006070153,0.00009271388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001892243,0.0002621457,0.06983415,0.00001209675,0.00008535909,0.00002810436,0.08055256,7.060342e-7,0.0004373642,0.3394202,0.4455269,0.06382154],"study_design_scores_gemma":[0.0002724974,0.0001020008,0.1093925,0.000009993807,0.00001792326,4.978697e-7,0.01061763,3.866543e-7,0.0002944166,0.02200617,0.8570629,0.0002230101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3173517,0.002274662,0.00008629545,0.01609178,0.0007612518,0.0002335385,0.00001672326,0.000231504,0.6629525],"genre_scores_gemma":[0.9761836,0.0004047169,0.00005848063,0.002031823,0.0004508095,0.000004926837,0.000003693895,0.000004899957,0.02085707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6588319,"threshold_uncertainty_score":0.4026579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03968366375180941,"score_gpt":0.3560664172442535,"score_spread":0.316382753492444,"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."}}