{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001766944,0.0004108497,0.0003943752,0.0005382947,0.0005859179,0.0003724463,0.000575659,0.0003344344,0.03303577],"category_scores_gemma":[0.0002986438,0.0002255376,0.0003344316,0.000377124,0.0002060766,0.0003127386,0.0002628158,0.0006306613,0.002769964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002609222,"about_ca_system_score_gemma":0.000342753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134548,"about_ca_topic_score_gemma":0.003112918,"domain_scores_codex":[0.9997968,0.000008437743,0.00001347578,0.00006232211,0.00008613789,0.00003284219],"domain_scores_gemma":[0.9998307,0.00004620703,0.00001742233,0.00003868367,0.00005553989,0.0000113811],"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":[0.00008687829,0.00003388741,0.0002479113,0.0002121268,0.00001895991,0.000133295,0.00003114605,0.00008033702,0.9872581,0.0002705279,0.003948519,0.007678302],"study_design_scores_gemma":[0.00002897006,0.0001527726,0.004894054,0.00001143433,0.00002534708,0.0002797577,0.00004210009,0.00052047,0.9585635,0.0001714555,0.03529745,0.00001268991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8106447,0.009499213,0.08142015,0.003082762,0.005323973,0.001049876,0.01394858,0.003675415,0.07135524],"genre_scores_gemma":[0.8911133,0.004317922,0.03414005,0.0006774787,0.0003233493,0.0005361103,0.007026518,0.0004444294,0.06142085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03303577,"threshold_uncertainty_score":0.1105156,"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."}}