{"id":"W2586392798","doi":"10.1002/jrs.5106","title":"Micro‐Raman spectroscopy and complementary techniques (hXRF, VP‐SEM‐EDS, <i>μ</i>‐FTIR and Py‐GC/MS) applied to the study of beads from the Kongo Kingdom (Democratic Republic of the Congo)","year":2017,"lang":"en","type":"article","venue":"Journal of Raman Spectroscopy","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada","funders":"Sixth Framework Programme; European Research Council; Universiteit Gent","keywords":"Congo red; Bead; Raman spectroscopy; Fourier transform infrared spectroscopy; Analytical Chemistry (journal); Mass spectrometry; Scanning electron microscope; Materials science; Chemistry; Chemical engineering; Chromatography; Composite material; Optics; Adsorption","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":[0.0007665554,0.0005304792,0.0002955713,0.00212759,0.0006589137,0.0009101164,0.000650984,0.0006269807,0.0007084423],"category_scores_gemma":[0.0004773665,0.0003462186,0.0004214162,0.001270818,0.0005938983,0.0003631239,0.0006543407,0.0003738268,0.0002633164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004314528,"about_ca_system_score_gemma":0.0005346956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005650615,"about_ca_topic_score_gemma":0.01717926,"domain_scores_codex":[0.9993123,0.0000904538,0.00004126096,0.0002529124,0.000214627,0.00008844671],"domain_scores_gemma":[0.999696,0.00007221838,0.00007775717,0.00004269804,0.00008889266,0.00002253712],"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":[0.000117309,0.00004393687,0.01490534,0.0003807801,0.00006310909,0.0003664253,0.0008129693,0.001285994,0.951939,0.0004498408,0.00008813437,0.02954722],"study_design_scores_gemma":[0.000012748,0.0003669925,0.1150204,0.0001175504,0.0001378465,0.002875502,0.002685552,0.008057521,0.863743,0.0004129928,0.006481445,0.00008842242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940403,0.002634828,0.05176956,0.0001067518,0.00004183715,0.0001325523,0.001168904,0.0001201272,0.003622508],"genre_scores_gemma":[0.914313,0.001833451,0.08118161,0.00004274567,0.00001457446,0.0001296507,0.0002578393,0.00004165711,0.002185406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005650615,"threshold_uncertainty_score":0.01123542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03096201257989351,"score_gpt":0.2746188887213985,"score_spread":0.243656876141505,"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."}}