{"id":"W7132115354","doi":"","title":"Machine learning applied to the manufacturing industry: some case studies","year":2019,"lang":"en","type":"other","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Active learning (machine learning); Process (computing); Field (mathematics); Expert system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005137831,0.0002970494,0.000343079,0.002195928,0.001837722,0.002570038,0.001455024,0.001963447,0.04359402],"category_scores_gemma":[0.0174589,0.0001594781,0.000436399,0.003020623,0.0009987097,0.001068383,0.001318518,0.0009743167,0.008183605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480073,"about_ca_system_score_gemma":0.002705864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004821764,"about_ca_topic_score_gemma":0.01274515,"domain_scores_codex":[0.9951342,0.001886988,0.0002310444,0.0001958553,0.002154176,0.0003976518],"domain_scores_gemma":[0.9862624,0.007022727,0.0006253321,0.001012253,0.004407024,0.0006701135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003170577,0.001751957,0.01763034,0.001893792,0.00005497109,0.01657358,0.002845217,0.009784132,0.002203932,0.02360281,0.1540335,0.7693087],"study_design_scores_gemma":[0.0001113242,0.0006352006,0.0310478,0.00178786,0.00004617841,0.007893166,0.006436399,0.02550914,0.00670519,0.01181208,0.907935,0.00008077087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1993775,0.009150047,0.02768563,0.01712441,0.001548279,0.001466569,0.001119768,0.0007600365,0.7417677],"genre_scores_gemma":[0.6271101,0.008352377,0.03072159,0.001756952,0.0004621067,0.0002988734,0.001485792,0.0003472313,0.329465],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04359402,"threshold_uncertainty_score":0.1458366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040636638465337,"score_gpt":0.284720163854389,"score_spread":0.2543137974697356,"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."}}