{"id":"W4386229352","doi":"10.31399/asm.amp.2016-10.p044","title":"Online Diagnostic Tools Improve Thermal Spray Process","year":2016,"lang":"en","type":"article","venue":"AM&P Technical Articles","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Marinvent (Canada)","funders":"","keywords":"Process (computing); Materials science; Process engineering; Thermal spraying; Manufacturing engineering; Computer science; Metallurgy; Engineering; Nanotechnology; Coating","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002468116,0.001035744,0.0004576098,0.001136381,0.0005223256,0.001811591,0.001530831,0.001388111,0.007926744],"category_scores_gemma":[0.007947206,0.0003159949,0.0004141605,0.0004742056,0.0005377972,0.002208778,0.00136898,0.0007447107,0.001783845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006430874,"about_ca_system_score_gemma":0.0004872764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007621518,"about_ca_topic_score_gemma":0.0008560341,"domain_scores_codex":[0.9976535,0.0005098784,0.0001611218,0.0002413982,0.001237705,0.0001963675],"domain_scores_gemma":[0.994885,0.002470545,0.0006102246,0.000868466,0.001045505,0.0001202857],"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":[0.001154248,0.001243432,0.009872681,0.001265052,0.00005397085,0.002834209,0.00115665,0.01803175,0.3840262,0.00393325,0.005194159,0.5712345],"study_design_scores_gemma":[0.00015569,0.002930358,0.01530735,0.0004877932,0.0002151304,0.003326684,0.0008742787,0.1568587,0.7666396,0.003929973,0.04906336,0.0002109404],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5706297,0.00238481,0.3771307,0.001237783,0.0004276157,0.001121841,0.0002765541,0.01186593,0.03492507],"genre_scores_gemma":[0.8900889,0.0003498784,0.1035496,0.000248007,0.00003969714,0.00009217977,0.00009917298,0.0004121687,0.005120434],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007926744,"threshold_uncertainty_score":0.02651757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550206641333704,"score_gpt":0.2265606724394119,"score_spread":0.2010586060260748,"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."}}