{"id":"W1981251001","doi":"10.1117/12.905476","title":"A new methodology for optical sensing and identification using optical-disc drives","year":2011,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Analyte; Photodiode; SIGNAL (programming language); Materials science; Optical disc; Laser; Optics; Optoelectronics; Chemistry; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005831637,0.0006320218,0.0005440006,0.001137604,0.0006774925,0.001157481,0.001730649,0.001058924,0.001986805],"category_scores_gemma":[0.0008363932,0.0005319394,0.0003515232,0.0007979965,0.001008363,0.001990023,0.001037055,0.001339553,0.001342471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007067817,"about_ca_system_score_gemma":0.000596768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003629242,"about_ca_topic_score_gemma":0.0004943761,"domain_scores_codex":[0.9981896,0.000125069,0.0001078689,0.0003995744,0.001111376,0.00006643353],"domain_scores_gemma":[0.9994486,0.0001398909,0.00007517945,0.0001293641,0.0001674697,0.00003940574],"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":[0.00004661257,0.00008344323,0.0002253655,0.0005274303,0.00001977453,0.0002199959,0.0001589094,0.0003621014,0.8721241,0.01740591,0.00221373,0.1066126],"study_design_scores_gemma":[0.00003044667,0.0003457262,0.0005731984,0.00004911335,0.00002403175,0.001908213,0.00006504365,0.007830128,0.8440362,0.002712287,0.1423562,0.00006928385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04057036,0.008742954,0.9294028,0.001137973,0.00205145,0.0007428215,0.0003117228,0.001602749,0.01543705],"genre_scores_gemma":[0.1680997,0.004974716,0.7947152,0.0009345649,0.0003618684,0.0008906543,0.0002040124,0.0001093758,0.02971001],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001986805,"threshold_uncertainty_score":0.006646514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03999497391762029,"score_gpt":0.2670709297214245,"score_spread":0.2270759558038042,"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."}}