{"id":"W7017581409","doi":"","title":"Brecha de género en la universidad, productivismo y tecnologías de la información (Gender gap in the university, productivism and information technologies)","year":2019,"lang":"es","type":"other","venue":"Acta Académica (Acta Académica)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Work (physics); Quarter (Canadian coin); Public policy; Gender equality; Situated","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","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.006424241,0.002221941,0.001802369,0.004854522,0.0005773716,0.0008335883,0.005741604,0.00639515,0.0001889416],"category_scores_gemma":[0.003156777,0.002058215,0.000394594,0.004033928,0.003388867,0.007098748,0.003009973,0.009101861,0.001402738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003623527,"about_ca_system_score_gemma":0.002494772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000246656,"about_ca_topic_score_gemma":0.00001609124,"domain_scores_codex":[0.9885023,0.003568341,0.001240148,0.00207464,0.001895356,0.002719235],"domain_scores_gemma":[0.9921697,0.002004994,0.002062035,0.003086789,0.0003493096,0.0003272145],"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":[0.00462854,0.002588112,0.02386275,0.005429289,0.004175615,0.0006534189,0.05747385,0.0002135794,0.1348109,0.1286425,0.5854959,0.05202543],"study_design_scores_gemma":[0.003701132,0.0002606924,0.01509109,0.000753462,0.0006876579,0.001510732,0.01819503,0.000285537,0.002664985,0.001156087,0.9533344,0.0023592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.409354,0.0009346282,0.0001448132,0.02602228,0.0005951977,0.009536648,0.001030524,0.002995615,0.5493863],"genre_scores_gemma":[0.9762793,0.008274147,0.00141144,0.0004340507,0.0003884332,0.00007886178,0.0002759516,0.0007483424,0.01210944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5669253,"threshold_uncertainty_score":0.9996378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009271480521209529,"score_gpt":0.2381463679661136,"score_spread":0.2288748874449041,"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."}}