{"id":"W1966649563","doi":"10.1117/12.734674","title":"An integrated optic hydrogen sensor for fast detection of hydrogen","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hydrogen sensor; Hydrogen; Flammable liquid; Materials science; Wireless sensor network; Computer science; Channel (broadcasting); Hydrogen sulfide sensor; Electronic engineering; Optoelectronics; Telecommunications; Engineering; 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":[0.0002180451,0.0003197152,0.0003029708,0.0003185898,0.0001817311,0.0003161519,0.0006977305,0.0006470519,0.000941119],"category_scores_gemma":[0.0003056953,0.0002918115,0.0002263543,0.0002076986,0.0002033595,0.00061051,0.0003039183,0.0003592421,0.000348286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004283656,"about_ca_system_score_gemma":0.0003146479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004480187,"about_ca_topic_score_gemma":0.001139107,"domain_scores_codex":[0.9997056,0.00002709579,0.000007656039,0.00007569554,0.000151829,0.00003207585],"domain_scores_gemma":[0.9998344,0.00003856123,0.00002069482,0.00001546852,0.00006797625,0.00002289107],"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":[0.0001034634,0.00004794414,0.000484637,0.00006315091,0.00001265397,0.00006638785,0.00002255504,0.0002657427,0.9828498,0.0004785586,0.0005020376,0.01510303],"study_design_scores_gemma":[0.00002619062,0.000393655,0.001912461,0.000006760263,0.00004632658,0.0005161725,0.00001752399,0.02057906,0.9702181,0.00009210285,0.006164711,0.000026894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6578579,0.004567164,0.3228577,0.000563229,0.000729204,0.000174488,0.0003949798,0.003065073,0.009790197],"genre_scores_gemma":[0.7960107,0.001205338,0.1918215,0.0003201278,0.0001001082,0.00007421758,0.0002238255,0.00005778351,0.01018623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000941119,"threshold_uncertainty_score":0.003148377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008879265028706125,"score_gpt":0.231173797132285,"score_spread":0.2222945321035789,"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."}}