{"id":"W2993859612","doi":"","title":"Elemental Analysis of Hydrogel Contact Lenses Using Laser-Induced Breakdown Spectroscopy (LIBS)","year":2010,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Laser-induced breakdown spectroscopy; Materials science; Spectroscopy; Elemental analysis; Laser; Contact angle; Optics; Composite material; Chemistry; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006589759,0.0003764422,0.0006378761,0.0006381672,0.0003820328,0.00007651342,0.0006446113,0.0002069163,0.0006052477],"category_scores_gemma":[0.0002124762,0.0003623148,0.000173636,0.003118509,0.001644659,0.0005714272,0.0001271679,0.0006226493,0.00003041504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001636225,"about_ca_system_score_gemma":0.000299707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005817838,"about_ca_topic_score_gemma":0.0001310061,"domain_scores_codex":[0.9974582,0.00007274216,0.0005213649,0.0006308506,0.0005107549,0.0008060688],"domain_scores_gemma":[0.9986577,0.0002147002,0.0001957488,0.0004091894,0.00014282,0.0003798225],"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":[0.00001526268,0.0000801685,0.02105361,0.00001115355,0.0002578545,0.00006361446,0.0003654632,0.0009138767,0.9770363,0.0001594105,0.000008353312,0.00003491344],"study_design_scores_gemma":[0.0002425779,0.000400512,0.02285667,0.00001618147,0.0002438223,0.0001109416,0.0001258608,0.04548032,0.9295499,0.0006296455,0.000005879857,0.0003376947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962755,0.000007977948,0.00001407161,0.00002147834,0.0006673672,0.0002230035,0.00007496915,0.0001192746,0.002596294],"genre_scores_gemma":[0.9972147,0.000001799656,0.002578808,0.00004663564,0.00007669246,0.00001249843,0.00002020211,0.00002902536,0.00001962373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04748642,"threshold_uncertainty_score":0.9998829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919654703073292,"score_gpt":0.320199712831413,"score_spread":0.2910031658006801,"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."}}