{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002853438,0.000373211,0.0002737431,0.0003699813,0.0002515552,0.0003742905,0.0003514051,0.0003934,0.001121941],"category_scores_gemma":[0.0003120328,0.0002864275,0.000242568,0.0001611074,0.0002442305,0.0004871768,0.0002844496,0.0007449974,0.0003443108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004950737,"about_ca_system_score_gemma":0.0003048707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009803473,"about_ca_topic_score_gemma":0.003321751,"domain_scores_codex":[0.9998118,0.00001434378,0.00001271605,0.00003637369,0.00009725781,0.00002751064],"domain_scores_gemma":[0.9998356,0.00002837479,0.00004557521,0.00002106019,0.00005479576,0.00001460208],"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":[0.00002221042,0.00001142805,0.00007886782,0.00004974913,0.000003003512,0.00001378032,0.00002184763,0.0001018355,0.9962975,0.0001414256,0.00003477166,0.003223609],"study_design_scores_gemma":[0.00000239046,0.00005300774,0.0003860938,0.000001982154,0.000002864757,0.00003137333,0.0000053465,0.0006024902,0.9982774,0.00001297998,0.00062168,0.000002475557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8952532,0.002634739,0.09475003,0.0001546502,0.00007982131,0.0002380939,0.0003740136,0.0006778974,0.005837533],"genre_scores_gemma":[0.9344802,0.00108499,0.06115711,0.0000390163,0.0000166101,0.00007874471,0.0002324691,0.0001062894,0.002804577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001121941,"threshold_uncertainty_score":0.003753245,"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."}}