{"id":"W3202454024","doi":"10.1002/jrs.6258","title":"Detection of structural degradation of porcine bone in different marine environments with Raman spectroscopy combined with chemometrics","year":2021,"lang":"en","type":"article","venue":"Journal of Raman Spectroscopy","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Dodd-Walls Centre","keywords":"Taphonomy; Chemometrics; Raman spectroscopy; Diagenesis; Principal component analysis; Environmental chemistry; Environmental science; Geology; Chemistry; Mineralogy; Paleontology; Artificial intelligence; Chromatography; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001564729,0.0001617066,0.0003538861,0.0002595812,0.0000341195,0.00002128119,0.0001325465,0.00008045851,0.00005492348],"category_scores_gemma":[0.00005686016,0.0001229522,0.0000787614,0.000413753,0.00009427578,0.00001653206,0.00003640266,0.0001685164,6.09457e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007279371,"about_ca_system_score_gemma":0.00007417262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007814399,"about_ca_topic_score_gemma":0.00006410751,"domain_scores_codex":[0.9985808,0.00006569076,0.00062699,0.0002086009,0.0003645762,0.0001533375],"domain_scores_gemma":[0.9985155,0.00001443975,0.0009044253,0.000307298,0.0001953389,0.00006301492],"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":[0.001162628,0.0002353465,0.037753,0.00003867847,0.00008298932,0.000006091381,0.00002986549,0.00005355694,0.9603527,0.00009260185,0.00002542674,0.0001671771],"study_design_scores_gemma":[0.00208659,0.001623539,0.1902558,0.00003224621,0.00004881511,0.00008418118,0.0001150472,0.00004366729,0.805478,0.00003962085,0.00009376412,0.00009874803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880403,0.0001858513,0.01127241,0.000171286,0.0001109188,0.0001337232,0.000006014019,0.000002267425,0.00007726083],"genre_scores_gemma":[0.9946807,0.0002135273,0.004597967,0.00001675704,0.00006711133,0.000002856803,0.00008719473,0.00001944086,0.0003144246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1548746,"threshold_uncertainty_score":0.5013846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007273420804502787,"score_gpt":0.2357020108652479,"score_spread":0.2284285900607451,"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."}}