{"id":"W2964770478","doi":"10.1002/jrs.5686","title":"A model for interpreting depth profiles of confocal Raman measurements in reflective and transmitting materials","year":2019,"lang":"en","type":"article","venue":"Journal of Raman Spectroscopy","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"National Science Foundation","keywords":"Optics; Raman spectroscopy; Gaussian beam; Refractive index profile; Gaussian; Paraxial approximation; Focus (optics); Wavelength; Refractive index; Rayleigh scattering; Materials science; Confocal; Excitation; Beam (structure); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001153085,0.0009332809,0.0004393969,0.0008982513,0.0005171083,0.001207648,0.001689843,0.001460724,0.002330628],"category_scores_gemma":[0.003803132,0.0008481417,0.0008056762,0.0005557357,0.0008990964,0.00212356,0.0006631176,0.001036388,0.001334543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002932986,"about_ca_system_score_gemma":0.001226619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00722919,"about_ca_topic_score_gemma":0.003775589,"domain_scores_codex":[0.9993086,0.0001324414,0.00001920402,0.0001889943,0.0002613422,0.00008938746],"domain_scores_gemma":[0.9989581,0.0004551387,0.0001368561,0.000129728,0.0002756999,0.00004446279],"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":[0.0002136653,0.0001051262,0.002241157,0.0001892143,0.00004707922,0.0004378457,0.0004605965,0.6802705,0.1810709,0.09417059,0.001862077,0.03893133],"study_design_scores_gemma":[0.00001051307,0.00003434644,0.0005327711,0.00001409237,0.00001075924,0.0001681365,0.00002818227,0.9799784,0.01019894,0.007507146,0.001486302,0.00003057515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0257575,0.0003094435,0.9680705,0.0003057104,0.00003174572,0.00008595444,0.000182027,0.0005883701,0.004668696],"genre_scores_gemma":[0.7354937,0.001042193,0.2461489,0.0003938416,0.00003686107,0.0005705727,0.0003324318,0.000550274,0.01543138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00722919,"threshold_uncertainty_score":0.02128035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692265656457485,"score_gpt":0.3595832180668376,"score_spread":0.3326605615022628,"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."}}