{"id":"W1976552947","doi":"10.1017/s1431927610060952","title":"Metallurgical Sample Surface Cleaning Using UV/Ozone","year":2010,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Advanced Materials Characterization Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hitachi (Canada)","funders":"","keywords":"Ozone; Sample (material); Environmental science; Environmental chemistry; Materials science; Metallurgy; Chemistry; Chromatography; Organic chemistry","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":[0.0001160973,0.0001902165,0.0003115532,0.0000932091,0.0001178248,0.0001051515,0.0001093212,0.0001174645,0.0002860252],"category_scores_gemma":[0.0000241032,0.0001949888,0.00006912961,0.0002207809,0.00007204765,0.0002059272,0.00005591208,0.0001803094,0.000008643878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001634488,"about_ca_system_score_gemma":0.000006944491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005265426,"about_ca_topic_score_gemma":0.00001612183,"domain_scores_codex":[0.9991727,0.00001780133,0.0002717763,0.0002312304,0.00006584481,0.0002405745],"domain_scores_gemma":[0.9995713,0.00004268171,0.00005258738,0.0002265733,0.00002765728,0.00007916227],"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":[0.000005014114,0.00000880916,0.0002693174,0.00002472816,0.00006901332,0.000001888646,0.00006999966,0.0009022976,0.9982184,0.00005535868,0.00001481311,0.0003603282],"study_design_scores_gemma":[0.0001174106,0.000006211428,0.0001644495,0.00001039393,0.0001282677,0.00001511236,0.00001994621,0.009754974,0.9861318,0.0001063514,0.003310997,0.0002341166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7216473,0.0001395408,0.2776488,0.00001023454,0.0001267245,0.00005916863,0.00004138139,0.0002800983,0.00004674167],"genre_scores_gemma":[0.7908865,0.0001287902,0.2087821,0.00003520232,0.00004901083,0.000002390088,0.00004517911,0.00003862796,0.00003215783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06923922,"threshold_uncertainty_score":0.7951411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009869641255468384,"score_gpt":0.2564568001884983,"score_spread":0.2465871589330299,"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."}}