{"id":"W3101288969","doi":"10.1117/12.2579900","title":"Standoff mid-infrared reflectance spectroscopy using quantum cascade laser for mineral identification","year":2020,"lang":"en","type":"article","venue":"","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Quantum cascade laser; Spectroscopy; Microcline; Materials science; Infrared spectroscopy; Diffuse reflectance infrared fourier transform; Spectral line; Analytical Chemistry (journal); Mineralogy; Optics; Chemistry; Albite; Optoelectronics; Quartz; 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":[0.0004683761,0.0004929329,0.0004088963,0.0006737874,0.0004765273,0.0004525617,0.0009329959,0.0008711066,0.001936754],"category_scores_gemma":[0.0005647418,0.0003413977,0.0003555825,0.0005608797,0.00043719,0.0008579125,0.0006124761,0.0007906533,0.0009551926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000586143,"about_ca_system_score_gemma":0.0005371912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001288994,"about_ca_topic_score_gemma":0.004006126,"domain_scores_codex":[0.9990006,0.00009874709,0.00002288719,0.0002957102,0.000518083,0.00006408344],"domain_scores_gemma":[0.9995092,0.0001372141,0.00009870536,0.00007818959,0.0001519998,0.00002466933],"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":[0.00004059677,0.00002086556,0.0004183558,0.0000533724,0.000005904657,0.00002282669,0.0000268252,0.0001226377,0.9921158,0.0001773473,0.0001203942,0.006875154],"study_design_scores_gemma":[0.00001020899,0.0001171252,0.003466698,0.00001054333,0.00001420834,0.0002421804,0.00005048317,0.009083029,0.98412,0.0002210659,0.002630737,0.00003379049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6614431,0.001787517,0.3249061,0.000358561,0.0001177005,0.0001894647,0.0008999,0.002473596,0.007824101],"genre_scores_gemma":[0.7446294,0.0008004091,0.2492151,0.0002185613,0.00002671271,0.0001591222,0.0004936706,0.0001708772,0.004286168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001936754,"threshold_uncertainty_score":0.006479144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04102124658225133,"score_gpt":0.3235078569873757,"score_spread":0.2824866104051243,"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."}}