{"id":"W1980452471","doi":"10.1364/opex.13.009492","title":"Towards optimum sample-probe-spectrometer system design by adjusting receiving fiber end face position and probe-membrane sample separation","year":2005,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Université du Québec en Outaouais","funders":"","keywords":"Spectrometer; Optics; Materials science; Sample (material); Fiber; Resolution (logic); Physics; Chemistry; Computer science; Chromatography","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":[0.0002541901,0.000372493,0.0003482535,0.000115961,0.0001629036,0.000168512,0.0001696346,0.0001984702,0.0000657092],"category_scores_gemma":[0.0001289715,0.0004123432,0.00005310424,0.0001845206,0.00004664271,0.0005819609,0.00006143678,0.0002831847,0.00002911526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003293127,"about_ca_system_score_gemma":0.00001542394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002374471,"about_ca_topic_score_gemma":0.000002591667,"domain_scores_codex":[0.9981686,0.00006532815,0.0004557439,0.000445016,0.0003112158,0.0005541201],"domain_scores_gemma":[0.9987984,0.0004879538,0.0001040861,0.0003664079,0.00008434255,0.0001588163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000343567,0.00003073436,0.000008255937,0.0003507974,0.00007415684,0.000005497334,0.001543074,0.6248957,0.3622569,0.000393018,0.0003222634,0.01008524],"study_design_scores_gemma":[0.000679167,0.00009865452,0.0000292667,0.000275934,0.00008539168,0.00007856451,0.0003375589,0.7536303,0.2422865,0.0001062157,0.001696214,0.0006962544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04576825,0.0004631002,0.9504901,0.00007086415,0.0001699047,0.0006715329,0.0001224163,0.0006150264,0.001628838],"genre_scores_gemma":[0.3486163,0.00007048667,0.650686,0.00001643678,0.0001757259,0.0000723168,0.00008535779,0.00009443478,0.0001829628],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.302848,"threshold_uncertainty_score":0.9998329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757551740278235,"score_gpt":0.2434304363861286,"score_spread":0.2258549189833462,"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."}}