{"id":"W4388569760","doi":"10.61404/jimi.v1i2.13","title":"Penyebab Menurunnya Kinerja Mesin Pendingin di MV. Vancouver","year":2023,"lang":"en","type":"article","venue":"Mutiara Jurnal Ilmiah Multidisiplin Indonesia","topic":"Environmental Engineering and Cultural Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Evaporator; Condenser (optics); Air conditioning; Thermal expansion valve; Refrigerant; Gas compressor; Water cooling; Automotive engineering; Mechanical engineering; Engineering","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":[0.0003616436,0.0004507416,0.0004154839,0.0002762297,0.0005101694,0.0001782836,0.001093485,0.0001484215,0.00002891002],"category_scores_gemma":[0.00003465231,0.0003799249,0.0002309804,0.001209705,0.0001061422,0.0005910234,0.0007509395,0.000439429,0.0008395625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966849,"about_ca_system_score_gemma":0.00002593706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005497218,"about_ca_topic_score_gemma":0.00002658573,"domain_scores_codex":[0.9972024,0.00006665471,0.0004780099,0.0007418536,0.0006902083,0.000820887],"domain_scores_gemma":[0.9987927,0.0001298343,0.0001455349,0.000639867,0.00004073483,0.0002513298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002127525,0.00162774,0.2579636,0.0005675511,0.001620417,0.003578346,0.01935719,0.1899076,0.1317432,0.02237088,0.1233282,0.2477225],"study_design_scores_gemma":[0.002278185,0.0001536671,0.8307587,0.000148485,0.00005753617,0.00009518011,0.0005812173,0.1334305,0.01016873,0.0003898972,0.02049476,0.001443207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457865,0.0007511349,0.04488238,0.001262623,0.003145484,0.0004962083,0.00001825824,0.001638368,0.002019072],"genre_scores_gemma":[0.9940602,0.0002184108,0.002616889,0.00009296584,0.0002479157,0.00007134496,0.00001470265,0.00004388259,0.002633751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5727951,"threshold_uncertainty_score":0.9999384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319439230934774,"score_gpt":0.2319640084574787,"score_spread":0.2187696161481309,"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."}}