{"id":"W1553332654","doi":"","title":"Model metadata summary report for the Ipswich-Sudbury LithoFrame 10-50 model.","year":2013,"lang":"en","type":"article","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Geology; Product (mathematics); Archaeology; Geography; Library science; Regional science; Computer science; World Wide Web; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001111332,0.001160953,0.0007682857,0.002412887,0.0007397651,0.002434226,0.00362753,0.001020626,0.1199915],"category_scores_gemma":[0.00375488,0.0008062099,0.0009478746,0.003747253,0.0003117658,0.003349897,0.001264484,0.001319156,0.05421193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286129,"about_ca_system_score_gemma":0.003937415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1696744,"about_ca_topic_score_gemma":0.1296106,"domain_scores_codex":[0.999428,0.00006416352,0.0000642905,0.00009584711,0.0002742466,0.00007336641],"domain_scores_gemma":[0.9984784,0.0002310655,0.0001022722,0.0003536642,0.0007032045,0.0001314221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002358908,0.0000659888,0.004727877,0.0005183527,0.000105404,0.0001506637,0.0001780043,0.02899996,0.00127356,0.009454902,0.9233776,0.03091186],"study_design_scores_gemma":[0.0001224547,0.00001999478,0.003710299,0.0002333527,0.00006216163,0.00008781683,0.0001440574,0.02189159,0.002435535,0.004088589,0.9671173,0.0000868083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003326073,0.0001981194,0.01778874,0.0003161748,0.0001850062,0.0002090988,0.9281546,0.01191246,0.0379097],"genre_scores_gemma":[0.01311988,0.0002867146,0.01181868,0.000112261,0.00002920475,0.0004033984,0.9552548,0.004312465,0.01466267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1696744,"threshold_uncertainty_score":0.4014114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06012440943284512,"score_gpt":0.2473649192151054,"score_spread":0.1872405097822603,"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."}}