{"id":"W4389992295","doi":"10.6000/2369-3355.2023.10.02","title":"Pycnometric-Additive Determining of the Degree of Coating of High-Strength Synthetic Diamond Grinding Powders using the Actual 3D Morphology of their Grains","year":2023,"lang":"en","type":"article","venue":"Journal of Coating Science and Technology","topic":"Engineering Technology and Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Saudi Basic Industries Corporation","keywords":"Grinding; Materials science; Coating; Degree (music); Diamond; Diamond grinding; Sodium silicate; Metallurgy; Boron carbide; Composite material; Grinding wheel","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007000657,0.0004593103,0.0002270369,0.001315211,0.0001943871,0.0003904832,0.0006392609,0.0004265804,0.001443647],"category_scores_gemma":[0.001180478,0.0003435829,0.000289652,0.0007871028,0.0005004754,0.000433572,0.0005950934,0.0007112209,0.0003874301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004464466,"about_ca_system_score_gemma":0.0003822121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047103,"about_ca_topic_score_gemma":0.003123151,"domain_scores_codex":[0.9985489,0.0001634539,0.00005376604,0.000236764,0.0009313238,0.00006567423],"domain_scores_gemma":[0.9992796,0.0002428354,0.0001291066,0.000118614,0.0002064519,0.00002340767],"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":[0.00006374437,0.00001808227,0.001561556,0.0003125984,0.00002681391,0.00005609189,0.00008189147,0.0003607284,0.9773043,0.0004813396,0.00009378791,0.01963918],"study_design_scores_gemma":[0.000005239762,0.0001018883,0.009165063,0.00001683675,0.00003526478,0.0003399353,0.00005258216,0.004070547,0.9839432,0.0001675078,0.002084519,0.00001727184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5620773,0.005638758,0.4186468,0.0001111101,0.0001925399,0.0002172679,0.0006353536,0.0006152464,0.01186552],"genre_scores_gemma":[0.7916259,0.003679105,0.1984463,0.00005871417,0.00002586189,0.0001585162,0.0003684055,0.0000909239,0.00554628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001443647,"threshold_uncertainty_score":0.004829526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05619689518364727,"score_gpt":0.2770529278994449,"score_spread":0.2208560327157976,"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."}}