{"id":"W2054042391","doi":"10.1080/05704928.2014.949733","title":"Recent Applications of Infrared and Raman Spectroscopy in Art Forensics: A Brief Overview","year":2014,"lang":"en","type":"article","venue":"Applied Spectroscopy Reviews","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Windsor","funders":"","keywords":"Raman spectroscopy; Infrared; Nanotechnology; Materials science; Data science; Computer science; Physics; Optics","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":[0.002211218,0.001404427,0.001129959,0.004907999,0.0008167089,0.001663286,0.001245486,0.001970805,0.004331835],"category_scores_gemma":[0.001370736,0.0006619094,0.001059983,0.003705793,0.0009503297,0.002062429,0.00127569,0.001562559,0.00268812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000613967,"about_ca_system_score_gemma":0.0007676716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007727956,"about_ca_topic_score_gemma":0.001453185,"domain_scores_codex":[0.9985496,0.0002992723,0.00008243146,0.0002531773,0.0007112664,0.0001042994],"domain_scores_gemma":[0.9985577,0.0008227894,0.0001514149,0.00005305652,0.0003678026,0.00004720236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002044597,0.0002246242,0.001375715,0.0160422,0.0001370246,0.0007562171,0.0004575692,0.001070088,0.06115677,0.006641831,0.01309738,0.8988361],"study_design_scores_gemma":[0.00001989688,0.0005428802,0.003855628,0.003596648,0.0002342294,0.00959722,0.0008683925,0.001978738,0.0742718,0.009111652,0.8957119,0.0002110518],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003155287,0.9739206,0.01175217,0.0006837327,0.0005059564,0.00004111688,0.0000529776,0.00005913726,0.009828952],"genre_scores_gemma":[0.01393706,0.9652421,0.01488638,0.0004033518,0.001016036,0.00005452873,0.0001100501,0.00003236518,0.004318165],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004907999,"threshold_uncertainty_score":0.01449138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03350125986039572,"score_gpt":0.2700795866408291,"score_spread":0.2365783267804334,"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."}}