{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001018088,0.005307684,0.003045887,0.006998614,0.0015205,0.005031762,0.006310165,0.004509658,0.1487266],"category_scores_gemma":[0.005560478,0.001104173,0.002363377,0.01040784,0.0008008448,0.002815747,0.003619662,0.002688086,0.2606681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001968237,"about_ca_system_score_gemma":0.002369689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02136663,"about_ca_topic_score_gemma":0.02956245,"domain_scores_codex":[0.9988127,0.000187509,0.0001057017,0.0003736815,0.0003006357,0.0002197562],"domain_scores_gemma":[0.9982302,0.0004705345,0.000160079,0.0005639542,0.0003496921,0.0002256236],"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":[0.00004160773,0.0000149084,0.0001969721,0.0006290536,0.0000271269,0.00001682551,0.00001101513,0.0002713178,0.00008479685,0.0004524621,0.9968404,0.001413409],"study_design_scores_gemma":[0.0002107611,0.0000163229,0.001030945,0.0002862352,0.00003276253,0.00004791285,0.0000407695,0.0006958274,0.0003485334,0.002761802,0.9944994,0.00002862033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009632846,0.0002439537,0.00008315048,0.00008633824,0.00003364248,0.000007415908,0.9967997,0.001398969,0.001250403],"genre_scores_gemma":[0.000374891,0.0001426775,0.00022527,0.00006295602,0.0000102994,0.00004221632,0.9982437,0.0001949654,0.0007030148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8512734,"threshold_uncertainty_score":0.4975402,"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."}}