{"id":"W4398268326","doi":"10.7910/dvn/ivcnjy/nxzagv","title":"map_node.xml","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"XML; Node (physics); Computer science; Geology; Database; World Wide Web; Engineering; Structural engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001710074,0.003930345,0.001783388,0.006466917,0.001395408,0.004747353,0.004320095,0.002965705,0.2105926],"category_scores_gemma":[0.009452858,0.00167852,0.001739084,0.008548249,0.0007073463,0.004523139,0.004505066,0.002714026,0.2758709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016249,"about_ca_system_score_gemma":0.003123932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.014613,"about_ca_topic_score_gemma":0.01642048,"domain_scores_codex":[0.9982231,0.0002778416,0.0002685514,0.0005869727,0.0003785073,0.0002649695],"domain_scores_gemma":[0.9964097,0.0009604774,0.0002310933,0.001310422,0.0007288657,0.000359449],"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":[0.00005765893,0.00001790212,0.0002977361,0.0005860774,0.00002558726,0.00001748471,0.00004113858,0.0001755141,0.0001779754,0.001191239,0.9949526,0.002459169],"study_design_scores_gemma":[0.0001327051,0.0000108698,0.0009363567,0.000209873,0.00001629763,0.00004275026,0.00006853633,0.0004022909,0.0006625086,0.002706733,0.9947833,0.00002769786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007485242,0.00003140665,0.0002524309,0.0000826005,0.00003422349,0.00001704997,0.9944065,0.003446896,0.001654107],"genre_scores_gemma":[0.0003875094,0.00006182381,0.000657569,0.00007396365,0.00000980096,0.00008051704,0.9969038,0.0009861368,0.0008389032],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7894074,"threshold_uncertainty_score":0.7045025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1299595430159964,"score_gpt":0.3653422610286841,"score_spread":0.2353827180126877,"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."}}