{"id":"W7096101424","doi":"","title":"DFXEIQPMENT OF ADVANCED HYDROCARBON FLUID ALTERNATIVES FOR PRECISION AND METAL CLEANING","year":2014,"lang":"en","type":"article","venue":"","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrocarbon; Flash (photography); Industrial equipment; Odor; Vapor phase; Feature (linguistics); Protocol (science)","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":[0.0009738217,0.0004241505,0.0002680513,0.001598445,0.0003603546,0.0009679413,0.0004453449,0.000787179,0.005280407],"category_scores_gemma":[0.0006500212,0.0001495718,0.0004698692,0.0006240265,0.0004294399,0.001022898,0.0005937121,0.0006156145,0.0008219798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006349509,"about_ca_system_score_gemma":0.0004134832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009582987,"about_ca_topic_score_gemma":0.002340825,"domain_scores_codex":[0.9992655,0.0001254614,0.00002916326,0.00007023425,0.0004188677,0.00009084879],"domain_scores_gemma":[0.999742,0.00005648094,0.00004821557,0.0000135446,0.0001003179,0.00003943716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008078353,0.00121752,0.002754178,0.002468954,0.00005546529,0.001926473,0.0002228155,0.007104918,0.4501879,0.01911665,0.006518291,0.507619],"study_design_scores_gemma":[0.000119165,0.008005629,0.003209393,0.0003939529,0.00005389402,0.002974876,0.000409591,0.008029868,0.6022735,0.003071363,0.3713826,0.00007606148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6347693,0.2403062,0.04160485,0.003624817,0.0008845926,0.00048288,0.0006619912,0.0003322313,0.07733314],"genre_scores_gemma":[0.8487149,0.08374104,0.03819424,0.0006704327,0.0002630612,0.0001374605,0.0006097386,0.0000440391,0.02762515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005280407,"threshold_uncertainty_score":0.01766473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00782695444131937,"score_gpt":0.230923967325582,"score_spread":0.2230970128842627,"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."}}