{"id":"W2040354231","doi":"10.4081/arc.2013.e1","title":"On establishing ceramic chemical groups: exploring the influence of data analysis methods and the role of the elements chosen in analysis","year":2013,"lang":"en","type":"article","venue":"Open Journal of Archaeometry","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Principal component analysis; Compositional data; Sorting; Multivariate statistics; Bivariate analysis; Multivariate analysis; Ceramic; Provenance; Computer science; Statistics; Mathematics; Geology; Chemistry; Algorithm; Geochemistry","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4029717,0.002106267,0.001804464,0.0077672,0.003740191,0.01274834,0.002344339,0.002250701,0.001406123],"category_scores_gemma":[0.6561474,0.0009929688,0.004066005,0.01197119,0.01306666,0.009292574,0.005509475,0.003584296,0.0003467589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003361153,"about_ca_system_score_gemma":0.003620456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007126771,"about_ca_topic_score_gemma":0.007544484,"domain_scores_codex":[0.4700824,0.4671446,0.01575611,0.01891901,0.02645827,0.001639673],"domain_scores_gemma":[0.06812262,0.8985577,0.01545375,0.008180601,0.009122753,0.0005626975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002897118,0.0005099427,0.5239225,0.003906162,0.004806712,0.0009518247,0.126131,0.01029515,0.009273811,0.0338964,0.002315599,0.2810938],"study_design_scores_gemma":[0.0003865744,0.005499807,0.6534286,0.007306545,0.002865682,0.001764012,0.1061528,0.09884764,0.02346788,0.06686424,0.03224961,0.00116668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7975275,0.008216995,0.1752576,0.003755412,0.0004062811,0.001683552,0.0005185693,0.0001997597,0.01243437],"genre_scores_gemma":[0.7743775,0.001723518,0.2205782,0.0005973465,0.000197886,0.001075848,0.0002917952,0.0003444368,0.0008134303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4029717,"threshold_uncertainty_score":0.7362422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03732979507522659,"score_gpt":0.3199846695116265,"score_spread":0.2826548744363999,"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."}}