{"id":"W3211789734","doi":"10.1002/gea.21893","title":"Investigating the application of Raman spectroscopy of carbonaceous material in sedimentary lithic artifacts for archaeological provenancing applications in the Canadian Rockies","year":2021,"lang":"en","type":"article","venue":"Geoarchaeology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for the Mathematical Sciences; University of British Columbia","funders":"University of British Columbia Graduate School; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Sedimentary rock; Geology; Archaeology; Provenance; Procurement; Excavation; Source rock; Geochemistry; Mining engineering; Paleontology; Geography; Structural basin","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007274866,0.0004894149,0.0001930828,0.004081442,0.003707572,0.001382559,0.0008731197,0.0004432897,0.0009581512],"category_scores_gemma":[0.0006767242,0.0002736071,0.000250419,0.003294402,0.001593983,0.0002271616,0.0008030652,0.0002660577,0.0001477872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005495173,"about_ca_system_score_gemma":0.006030846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8594183,"about_ca_topic_score_gemma":0.9783102,"domain_scores_codex":[0.9991966,0.00005080311,0.0000162278,0.0001354043,0.0003868571,0.0002141658],"domain_scores_gemma":[0.9994703,0.00006110407,0.00009062172,0.00002841934,0.0002886532,0.00006088048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002444005,0.00007514255,0.6907297,0.0003589907,0.0001804105,0.002378402,0.01550502,0.001329342,0.2031898,0.001191293,0.001062753,0.08375479],"study_design_scores_gemma":[0.000003374246,0.00004370425,0.9715616,0.00004214283,0.00003622719,0.000525812,0.008600898,0.0006869722,0.01386753,0.00006756077,0.004539393,0.00002493815],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953671,0.0003266759,0.0008847537,0.00005274604,0.000003373573,0.00003143728,0.0002956524,0.00001611478,0.003022355],"genre_scores_gemma":[0.9927689,0.000330926,0.004834245,0.00003871503,0.000002430374,0.00001476711,0.0001887012,0.00001385407,0.001807572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1405817,"threshold_uncertainty_score":0.2828192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009495051060485213,"score_gpt":0.2462039745128915,"score_spread":0.2367089234524063,"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."}}