{"id":"W2565062084","doi":"10.1007/978-3-319-48248-4_157","title":"Practical Use of the MetalVision Ultrasonic Inclusion Analyzer","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"PROTO Manufacturing (Canada)","funders":"","keywords":"Inclusion (mineral); Spectrum analyzer; Ultrasonic sensor; Process engineering; Purchasing; Process (computing); Quality (philosophy); Financial inclusion; Computer science; Materials science; Engineering; Acoustics; Operations management; Business; Telecommunications; Mineralogy; Chemistry; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001872791,0.0002474247,0.0003672941,0.00005330797,0.00004933661,0.00001926934,0.0002013195,0.0002962053,0.001553511],"category_scores_gemma":[0.00009536289,0.0001358563,0.000233208,0.00004524432,0.00005689317,0.0001250234,0.0004280921,0.0004164437,0.00005791945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006275676,"about_ca_system_score_gemma":0.00004388208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008576088,"about_ca_topic_score_gemma":0.00001672538,"domain_scores_codex":[0.9989054,0.00001276912,0.0003218967,0.0001657545,0.0004639909,0.0001301609],"domain_scores_gemma":[0.9991165,0.0001546203,0.00009872588,0.0004313235,0.0001164038,0.00008240746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003368427,0.00004465507,0.000001284772,0.0003326159,0.000612315,0.00001784946,0.00005723362,0.02632463,0.00087118,0.959368,0.006965638,0.00537091],"study_design_scores_gemma":[0.0001696103,0.00003548255,0.000009459955,0.0001457236,0.0003258042,0.00002104678,0.000002405563,0.3390037,0.00009020109,0.03893767,0.6208935,0.0003654108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0005628815,0.001043819,0.03474911,0.000140698,0.0004240457,0.0002821846,0.00002884911,0.0001504493,0.962618],"genre_scores_gemma":[0.5562219,0.001330752,0.002653665,0.0000752776,0.0001244342,0.000002880046,0.00004208116,0.0001710571,0.439378],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9204304,"threshold_uncertainty_score":0.9993592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05919025265201607,"score_gpt":0.2709532337601667,"score_spread":0.2117629811081506,"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."}}