{"id":"W4241998203","doi":"10.4000/laboreal.12662","title":"Género","year":2007,"lang":"es","type":"article","venue":"Laboreal","topic":"Social Sciences and Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001493024,0.0001252429,0.0001606432,0.00005530286,0.0007441634,0.0002145343,0.0004104396,0.0001951278,0.0003930361],"category_scores_gemma":[0.0001299966,0.0001136072,0.00008582178,0.001142954,0.000805687,0.0001734256,0.00005583053,0.000141127,0.0002996633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008889001,"about_ca_system_score_gemma":0.000175366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05093767,"about_ca_topic_score_gemma":0.01850951,"domain_scores_codex":[0.9981262,0.00008297947,0.0002108187,0.000211519,0.00060293,0.0007655423],"domain_scores_gemma":[0.9991817,0.000190087,0.00009748693,0.0001470359,0.00009578976,0.0002878275],"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":[0.00001531461,0.000064443,0.04298272,0.000007199723,0.00001365048,0.00001229915,0.03642749,7.820312e-7,0.00007648973,0.8416132,0.01400051,0.06478593],"study_design_scores_gemma":[0.0001227432,0.00004998531,0.1912,0.00001230715,0.00001293086,3.792465e-7,0.008997206,0.000003931041,0.0001006786,0.00354167,0.7957942,0.0001639236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3893377,0.0002232273,0.00002710994,0.004903418,0.001678762,0.0001008559,0.00002592211,0.00007099007,0.603632],"genre_scores_gemma":[0.9878618,0.0008039825,0.0000966873,0.001043412,0.003161569,0.000001413999,0.000003226605,0.000009426723,0.007018496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8380715,"threshold_uncertainty_score":0.9994001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615154171137337,"score_gpt":0.3692005613199933,"score_spread":0.35304901960862,"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."}}