{"id":"W2557492879","doi":"10.1007/s11666-016-0473-x","title":"The 2016 Thermal Spray Roadmap","year":2016,"lang":"de","type":"article","venue":"Journal of Thermal Spray Technology","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":315,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Concordia University; National Research Council Canada; Alberta Innovates; Université de Sherbrooke; University of Alberta","funders":"Sandia National Laboratories","keywords":"Aerospace; Thermal spraying; Limiting; Systems engineering; Emerging technologies; Snapshot (computer storage); Nanotechnology; Materials science; Manufacturing engineering; Coating; Engineering; Computer science; Mechanical engineering; Aerospace engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001417888,0.0006374638,0.0008304858,0.0005908295,0.0003992885,0.0001516963,0.002192542,0.001211713,0.000430835],"category_scores_gemma":[0.0006888747,0.0003326538,0.0004784576,0.0006225901,0.0007036516,0.0003848738,0.0002989091,0.002036256,0.001002537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004171095,"about_ca_system_score_gemma":0.0002724958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005608266,"about_ca_topic_score_gemma":0.00001462528,"domain_scores_codex":[0.9960595,0.0002398896,0.001509775,0.0003524974,0.0006525896,0.001185723],"domain_scores_gemma":[0.996663,0.0005274923,0.001023027,0.001096662,0.0004453656,0.0002444461],"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":[0.0001287135,0.00009681672,0.004009307,0.000017032,0.0005161,0.0003605926,0.0001489321,0.0003165519,0.9654806,0.001183319,0.005980966,0.02176112],"study_design_scores_gemma":[0.00221342,0.0009387363,0.004733296,0.0009212459,0.0004640496,0.0004710819,0.0001638891,0.00000951703,0.5913514,0.0002678637,0.3976862,0.0007792602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582926,0.01689145,0.0004451811,0.01514121,0.008223714,0.0002929623,0.00002088981,0.0003152867,0.0003767006],"genre_scores_gemma":[0.9929144,0.001624939,0.001081666,0.00007036412,0.002331091,0.00001311936,5.362891e-7,0.0001779046,0.001785932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3917053,"threshold_uncertainty_score":0.9999126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006053885011063458,"score_gpt":0.2221871207428949,"score_spread":0.2161332357318314,"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."}}