{"id":"W1484287808","doi":"10.1111/arcm.12090","title":"Ochre fingerprints: Distinguishing among <scp>M</scp>alawian mineral pigment sources with <scp>H</scp>omogenized <scp>O</scp>chre <scp>C</scp>hip <scp>LA–ICPMS</scp>","year":2014,"lang":"en","type":"article","venue":"Archaeometry","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Australian Research Council; University of Missouri; Wenner-Gren Foundation; National Science Foundation","keywords":"Neutron activation analysis; Provenance; Post hoc; Sample (material); Sample preparation; Chemistry; Mineralogy; Geology; Chromatography; Geochemistry; Radiochemistry; Medicine","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.003399745,0.003107681,0.003643703,0.002034483,0.003136178,0.003996523,0.003340358,0.001019987,0.0004029085],"category_scores_gemma":[0.01728321,0.002658112,0.001693615,0.001923531,0.003220777,0.002006964,0.002472599,0.002276528,0.0009431068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006176904,"about_ca_system_score_gemma":0.0002744546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004466816,"about_ca_topic_score_gemma":0.006247628,"domain_scores_codex":[0.9838428,0.001480093,0.003109982,0.003615621,0.00334731,0.004604209],"domain_scores_gemma":[0.9788641,0.0125304,0.00259687,0.002833768,0.001323793,0.001851045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005805774,0.003164185,0.1913709,0.005038986,0.008475018,0.001980446,0.5440845,0.001957599,0.03355123,0.03029693,0.1745878,0.005434365],"study_design_scores_gemma":[0.005470096,0.001254025,0.03325519,0.001984664,0.00217098,0.0002453163,0.1380933,0.00163553,0.01322148,0.003731436,0.7983044,0.0006335607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205453,0.002312904,0.0004907766,0.0001567187,0.001846896,0.001642707,0.0006710606,0.001427861,0.0709058],"genre_scores_gemma":[0.9128684,0.0003287647,0.001987626,0.0009150895,0.005839656,0.0004715761,0.001001429,0.0007221467,0.07586536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6237167,"threshold_uncertainty_score":0.9998348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166291622089664,"score_gpt":0.2130513292176001,"score_spread":0.1964221670086337,"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."}}