{"id":"W1666138844","doi":"10.1063/1.2060467","title":"Clean Fabrication and Cleanliness Monitoring in SNO","year":2005,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Fabrication; Materials science; Computer science; Nanotechnology","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":[0.0001721473,0.0001017507,0.0001226666,0.0001220849,0.00003919088,0.00008842793,0.00005954333,0.0001032229,0.0000101691],"category_scores_gemma":[0.00004177049,0.0001038171,0.00001393337,0.0002003238,0.00001255331,0.0003478155,0.00001659921,0.0001677642,0.00002302287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006627232,"about_ca_system_score_gemma":0.000007827184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003511394,"about_ca_topic_score_gemma":0.000009175361,"domain_scores_codex":[0.9993824,0.00000304537,0.0002032372,0.0001489862,0.0001017061,0.0001605855],"domain_scores_gemma":[0.999762,0.00001278179,0.00003093901,0.00004426423,0.0001009924,0.00004903513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002609082,0.00002135409,0.1274292,0.0001079899,0.00001075336,9.32125e-7,0.003376679,0.0001415279,0.05699431,0.0007189761,0.0003300297,0.8108422],"study_design_scores_gemma":[0.003049168,0.0002418248,0.391705,0.0008722732,0.00002966286,0.0000591061,0.007143847,0.4569034,0.09675197,0.0008776283,0.04108369,0.001282439],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943999,0.00006358331,0.001793108,0.00006724179,0.0002482077,0.0001373287,5.86175e-7,0.0001885056,0.00310151],"genre_scores_gemma":[0.999078,0.00006358056,0.0002194028,0.000007787223,0.0005314697,0.00002215083,5.209113e-7,0.00001492458,0.00006216284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8095597,"threshold_uncertainty_score":0.4233541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895510479074609,"score_gpt":0.251050596913445,"score_spread":0.2220954921226989,"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."}}