{"id":"W6931710074","doi":"10.5683/sp2/w0fipu","title":"Hawaii Pyroxenite Data","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Celiac Disease Research and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reflection (computer programming); Earth (classical element); Work (physics); Earth observation","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":[],"consensus_categories":[],"category_scores_codex":[0.0005437966,0.00134062,0.00061386,0.003971317,0.0005730152,0.001295269,0.001574777,0.001123726,0.05593803],"category_scores_gemma":[0.003933425,0.0005000252,0.000743503,0.007465825,0.0004002956,0.0007950421,0.001261283,0.001235177,0.04893914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103029,"about_ca_system_score_gemma":0.003585074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1360532,"about_ca_topic_score_gemma":0.1701637,"domain_scores_codex":[0.9994559,0.00005757284,0.00005558656,0.0001309909,0.0002045267,0.00009540229],"domain_scores_gemma":[0.9979706,0.0003319685,0.0002009096,0.0004409059,0.0008002901,0.0002552045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000764856,0.00002776345,0.002126746,0.0006293523,0.00004956872,0.00004309773,0.00005894813,0.0009899852,0.0002514457,0.0005738336,0.9911671,0.004005685],"study_design_scores_gemma":[0.0001011602,0.00001376628,0.009695451,0.0001377644,0.00003404374,0.00003049119,0.0001454739,0.0004052617,0.0004766321,0.0005691446,0.9883614,0.00002936299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003251156,0.00003175769,0.00003387084,0.00002813677,0.00001356386,0.000006883734,0.9986253,0.0001743858,0.0007609542],"genre_scores_gemma":[0.0007724523,0.00004524051,0.0001327642,0.00001703335,0.000004480806,0.00003408387,0.9978162,0.00004068232,0.001137018],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1360532,"threshold_uncertainty_score":0.2705226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06286096060957849,"score_gpt":0.3613185059896912,"score_spread":0.2984575453801127,"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."}}