{"id":"W7077303427","doi":"","title":"Estrategias de las trabajadoras domésticas frente a la justicia laboral","year":2018,"lang":"es","type":"other","venue":"Conicet","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Economic Justice; Order (exchange); Quarter (Canadian coin)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001639006,0.0004863208,0.0002201223,0.001156949,0.003448522,0.003328155,0.001179768,0.0009913533,0.03791244],"category_scores_gemma":[0.004361581,0.0002107,0.0003253359,0.002335078,0.002325822,0.002012121,0.003431207,0.001075619,0.005710505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002874396,"about_ca_system_score_gemma":0.006133556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02578287,"about_ca_topic_score_gemma":0.05486076,"domain_scores_codex":[0.9975234,0.001120102,0.00008180609,0.0002888483,0.0004124256,0.0005734156],"domain_scores_gemma":[0.9969931,0.0006081307,0.0004157078,0.0005695544,0.0006309006,0.0007826934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003723241,0.0003776998,0.07402059,0.001442588,0.00005685965,0.001335953,0.05584587,0.002082685,0.007296072,0.163881,0.07908888,0.6141994],"study_design_scores_gemma":[0.00003680751,0.0001829941,0.07493045,0.0007266315,0.00002964924,0.0007517176,0.05785163,0.0009644185,0.001895449,0.01890347,0.8436727,0.0000541007],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2137026,0.005921109,0.01537373,0.01956784,0.0005414828,0.0002079977,0.0008523648,0.0006265044,0.7432064],"genre_scores_gemma":[0.8187834,0.006111799,0.008530095,0.001281418,0.0002115022,0.0002109459,0.0009926462,0.0002555997,0.1636226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03791244,"threshold_uncertainty_score":0.1268297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826535479456108,"score_gpt":0.2702263221330968,"score_spread":0.2519609673385357,"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."}}