{"id":"W1515846461","doi":"10.1111/j.1475-4754.2011.00590.x","title":"CHEMISTRY VERSUS DATA DISPERSION: IS THERE A BETTER WAY TO ASSESS AND INTERPRET ARCHAEOMETRIC DATA?","year":2011,"lang":"en","type":"article","venue":"Archaeometry","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Department of Anthropology, McMaster University; British School at Athens","keywords":"Principal component analysis; Compositional data; Outlier; Bivariate analysis; Data set; Multivariate statistics; Ceramic; Dispersion (optics); Data mining; Statistics; Mineralogy; Computer science; Geology; Chemistry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1693881,0.002378298,0.005516952,0.01877662,0.003284815,0.0151224,0.003039103,0.004493751,0.001908796],"category_scores_gemma":[0.4416345,0.001625745,0.001924077,0.02038543,0.01381213,0.02732015,0.006947222,0.006494039,0.0008596891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002558562,"about_ca_system_score_gemma":0.0031835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004273001,"about_ca_topic_score_gemma":0.00475044,"domain_scores_codex":[0.8828831,0.07206439,0.01823992,0.008262253,0.0175923,0.0009580493],"domain_scores_gemma":[0.5781171,0.2802969,0.04443793,0.05014519,0.04457296,0.002429847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006772747,0.0004256058,0.1865868,0.00495799,0.002774031,0.0006841507,0.02124005,0.009218295,0.007799454,0.1176089,0.01333966,0.6346878],"study_design_scores_gemma":[0.0003361366,0.001528625,0.2285518,0.00666044,0.0009175148,0.002576978,0.03441249,0.05009456,0.01180961,0.565808,0.0958624,0.001441575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1139163,0.01230934,0.8130102,0.04432169,0.001916794,0.001060472,0.001741965,0.002169852,0.00955332],"genre_scores_gemma":[0.5024735,0.004052513,0.4832358,0.00441148,0.001767213,0.001064828,0.000799647,0.0009919041,0.001203032],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1693881,"threshold_uncertainty_score":0.8958204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.131935226142406,"score_gpt":0.2960287000225267,"score_spread":0.1640934738801207,"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."}}