{"id":"W2022085241","doi":"10.1366/14-07578","title":"Pattern Recognition-Assisted Infrared Library Searching of Automotive Clear Coats","year":2015,"lang":"en","type":"article","venue":"Applied Spectroscopy","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Mounted Police","funders":"","keywords":"Pattern recognition (psychology); Autocorrelation; Wavelet; Computer science; Histogram; Sample (material); Artificial intelligence; Mathematics; Statistics; Chemistry; Image (mathematics)","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":[0.0005227826,0.000550857,0.0007619802,0.002170744,0.0003050443,0.0007022722,0.0009195182,0.00040292,0.001911989],"category_scores_gemma":[0.001350786,0.0003129814,0.0005455738,0.001366856,0.0002176834,0.0006456628,0.0004969714,0.0003183211,0.000734993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003489451,"about_ca_system_score_gemma":0.0006125129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002703464,"about_ca_topic_score_gemma":0.003790834,"domain_scores_codex":[0.9995952,0.00003403936,0.00002559555,0.00008987527,0.0002057534,0.00004940838],"domain_scores_gemma":[0.9992798,0.0001993576,0.0001136994,0.00007410833,0.0002974159,0.00003566808],"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":[0.0008039413,0.0002842799,0.005790213,0.000432457,0.00005807265,0.0004454791,0.0001952201,0.02229748,0.4890507,0.0009521176,0.002013793,0.4776763],"study_design_scores_gemma":[0.00005596035,0.0007040813,0.0301615,0.00002236667,0.00007520714,0.0006044052,0.0002948559,0.5639281,0.398698,0.0009512519,0.004442715,0.0000616304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.585218,0.0005886488,0.4054545,0.00008646039,0.00003806284,0.0002263651,0.0008565843,0.004561251,0.00297013],"genre_scores_gemma":[0.6500173,0.0003460858,0.3415466,0.00006835053,0.00001506424,0.0001751702,0.00229428,0.0003307964,0.005206459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002703464,"threshold_uncertainty_score":0.006396294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03915682474426743,"score_gpt":0.2752509672050164,"score_spread":0.2360941424607489,"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."}}