{"id":"W6980357474","doi":"","title":"Cálculo para la extensión de red para alimentación de 1003 m3/h de gas natural para el grifo Primax Montreal","year":2019,"lang":"es","type":"dissertation","venue":"Cybertesis (National University of San Marcos)","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Air pollution; Natural gas; Measure (data warehouse)","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":[],"category_scores_codex":[0.0007725403,0.0006922827,0.001009944,0.0006375368,0.0009642089,0.0002406727,0.00082366,0.0003953251,0.002611319],"category_scores_gemma":[0.000209478,0.0007928687,0.0008060298,0.0001730518,0.0007423433,0.0005650854,0.0001848392,0.0005857663,0.0001236973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009795094,"about_ca_system_score_gemma":0.0009593584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01789412,"about_ca_topic_score_gemma":0.01536981,"domain_scores_codex":[0.9962374,0.000489154,0.0005378598,0.000789347,0.00108179,0.0008644725],"domain_scores_gemma":[0.996708,0.0007851255,0.0008425492,0.0004419619,0.0009911763,0.0002312214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.004539555,0.004279193,0.07360896,0.002604649,0.0256221,0.001442269,0.1942677,0.001653649,0.01024907,0.5460896,0.1183424,0.01730091],"study_design_scores_gemma":[0.004238921,0.0002845139,0.7599897,0.001524889,0.006604955,0.0000597229,0.1594375,0.005874543,0.00109584,0.007047578,0.05120955,0.00263233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.805992,0.003557156,0.000113548,0.001537411,0.0003728527,0.0007161811,0.001008434,0.0001227837,0.1865796],"genre_scores_gemma":[0.9662778,0.001596018,0.0008850621,0.0002795318,0.0003841465,0.000005956435,0.002557147,0.00006939996,0.02794489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6863807,"threshold_uncertainty_score":0.9994522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136265412561058,"score_gpt":0.2585158445041992,"score_spread":0.2448893032480934,"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."}}