{"id":"W4398844199","doi":"10.7910/dvn/qynzrr/4bhmat","title":"vla1623b.tar","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Material Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Environmental science; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000234359,0.0002881003,0.0003565466,0.00006302808,0.0001401499,0.0002514988,0.001136679,0.0002259055,0.3126405],"category_scores_gemma":[0.00005770593,0.0002402659,0.00007747695,0.00007226954,0.00009362575,0.0002258108,0.0006855988,0.0001773399,0.8119793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006208746,"about_ca_system_score_gemma":0.0001015521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000760006,"about_ca_topic_score_gemma":0.00003370992,"domain_scores_codex":[0.9983566,0.00005945048,0.0003369119,0.0005771378,0.0003097964,0.0003600372],"domain_scores_gemma":[0.9975498,0.00002826036,0.0002023679,0.002053325,0.00005392107,0.0001122649],"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":[0.00002405461,0.00004296981,1.427669e-7,0.0001579524,0.000007684127,0.000008055969,0.000006714365,0.000005837495,0.01746362,0.00004404662,0.9822204,0.00001853],"study_design_scores_gemma":[0.0001792526,0.00003070269,0.000001746907,0.00005059587,0.00004815776,0.000007433926,0.00001794824,0.000008153239,0.002788897,0.00002098942,0.996523,0.0003230824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003008336,0.000001212161,0.00001683005,0.00001149554,0.001731549,0.0003989445,0.996946,0.00006227203,0.0005308652],"genre_scores_gemma":[0.00003489971,0.0001337817,0.0002311649,0.000387193,0.000470343,0.00006384404,0.9969098,0.00002418169,0.001744787],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4993389,"threshold_uncertainty_score":0.979776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642738868325285,"score_gpt":0.2496214022862464,"score_spread":0.2231940136029936,"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."}}