{"id":"W4309771193","doi":"10.1016/j.surfcoat.2022.129089","title":"Gelation-based feed-stock technologies for HVOF thermal spray development: Micro-composite powder preparation and HVOF coating microstructure","year":2022,"lang":"en","type":"article","venue":"Surface and Coatings Technology","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Materials science; Thermal spraying; Cermet; Ceramic; Microstructure; Composite number; Coating; Aqueous solution; Raw material; Composite material; Chemical engineering; Gas dynamic cold spray; Metallurgy","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":[],"consensus_categories":[],"category_scores_codex":[0.0005956993,0.0002296124,0.0002827705,0.0001668363,0.001115833,0.0001489441,0.0004619488,0.0001802559,0.00004568914],"category_scores_gemma":[0.0001879639,0.0002261165,0.00002141976,0.0003926161,0.0005170736,0.0002129358,0.0004848304,0.0001909698,0.000004408035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008349052,"about_ca_system_score_gemma":0.000145633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001727689,"about_ca_topic_score_gemma":0.00001512751,"domain_scores_codex":[0.9983026,0.00003193781,0.0003997514,0.0006396865,0.0002148638,0.0004111482],"domain_scores_gemma":[0.9990425,0.0001533258,0.0003653037,0.0002880681,0.0001223615,0.00002841333],"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":[0.00006393254,0.00001833876,0.003458344,0.00007944735,0.000003877768,0.000001312955,0.0005933655,0.0004924103,0.9938269,0.0003009113,0.00004421004,0.001116957],"study_design_scores_gemma":[0.0004857407,0.0001461366,0.000359695,0.00002605456,0.00001441703,0.00004847125,0.001111883,0.0003148511,0.9940434,0.001967878,0.001200476,0.0002809781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995191,0.0005232553,0.001765239,0.001013815,0.0001884094,0.0006301331,0.00006395578,0.0005900711,0.00003416934],"genre_scores_gemma":[0.9457542,0.000003628946,0.05384653,0.000115545,0.000009476469,0.000155805,0.00002892683,0.00002167918,0.00006416858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05208129,"threshold_uncertainty_score":0.9220765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007738911883169729,"score_gpt":0.2444779080454628,"score_spread":0.2367389961622931,"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."}}