{"id":"W6992758537","doi":"","title":"Monitoring of O/W emulsions from a copper metalworking industry","year":2016,"lang":"en","type":"article","venue":"Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte)","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metalworking; Chemical industry; Copper; Chemical products; Chemical company","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":[],"consensus_categories":[],"category_scores_codex":[0.000272565,0.0003225319,0.0004774875,0.00007776799,0.0001139239,0.00004909932,0.0005409721,0.0002246078,0.000341791],"category_scores_gemma":[0.0007797083,0.0001872238,0.0002119054,0.000392183,0.0002160963,0.0003735164,0.0001431841,0.0002973188,0.0000165471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009885713,"about_ca_system_score_gemma":0.00009529823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009408938,"about_ca_topic_score_gemma":0.00001437019,"domain_scores_codex":[0.9980415,0.0001153805,0.0008184849,0.0003101066,0.0003791513,0.000335453],"domain_scores_gemma":[0.9979293,0.0005576723,0.0004345209,0.0006788298,0.0002307985,0.0001688385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001100591,0.0002124858,0.01721446,0.0002793428,0.0005602964,0.00001885237,0.001639431,0.0005289015,0.9593933,0.0006824966,0.0002580768,0.01910236],"study_design_scores_gemma":[0.004588722,0.0001482461,0.1742137,0.006903696,0.001595115,0.0001620731,0.007948724,0.009374554,0.7672501,0.002119724,0.02320458,0.002490806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948785,0.0006409046,0.001967858,0.0002215216,0.0009141371,0.0002476863,0.0004872576,0.00009217179,0.0005500046],"genre_scores_gemma":[0.9968358,0.0002309153,0.002311433,0.00002497391,0.0001866919,0.00003932526,0.00004665005,0.00004625675,0.0002780084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1921432,"threshold_uncertainty_score":0.7634764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03695022522800742,"score_gpt":0.2698471850462418,"score_spread":0.2328969598182344,"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."}}