{"id":"W1981156275","doi":"10.1117/12.738657","title":"Ethanol concentration measurement by Raman spectroscopy in liquid-core microstructured optical fiber","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique","funders":"","keywords":"Raman spectroscopy; Materials science; Optical fiber; Core (optical fiber); Spectroscopy; Fiber optic sensor; Fiber; Aqueous solution; Ethanol; Optics; Optoelectronics; Analytical Chemistry (journal); Chemistry; Chromatography; Composite material","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":[0.0003484943,0.0004258529,0.0002881297,0.000335643,0.0002075642,0.0002192557,0.0005355602,0.0003344645,0.0002532112],"category_scores_gemma":[0.0003610041,0.0002773278,0.0001719286,0.0003145807,0.0003132325,0.0003673956,0.0002619167,0.0002733878,0.0001764141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006793963,"about_ca_system_score_gemma":0.0003365029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582343,"about_ca_topic_score_gemma":0.005099359,"domain_scores_codex":[0.9996325,0.00004193222,0.0000187142,0.00009990518,0.0001837539,0.00002320736],"domain_scores_gemma":[0.9997429,0.00004326404,0.00007550082,0.00001881726,0.0001037891,0.00001563105],"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":[0.00001121813,0.000007083986,0.0001385154,0.00001412218,0.000001291206,0.00000907479,0.000005563058,0.0001213948,0.9986057,0.0000328287,0.000008842265,0.001044405],"study_design_scores_gemma":[0.000004218563,0.0001018472,0.0009136277,0.00000201196,0.000004033308,0.00003798333,0.0000075525,0.003840146,0.9948318,0.00001653036,0.0002346059,0.00000553244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9383839,0.0007831407,0.05941097,0.0001011557,0.00003606417,0.00005976391,0.0001783772,0.0002957647,0.0007509801],"genre_scores_gemma":[0.8993217,0.0008085423,0.09802476,0.00005567928,0.00001832534,0.00004705921,0.0001438376,0.00002629985,0.001553868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002582343,"threshold_uncertainty_score":0.005134702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216154823048246,"score_gpt":0.2354065923257981,"score_spread":0.2232450440953157,"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."}}