{"id":"W6902770907","doi":"10.7281/t1/bmathh/x0gzxb","title":"09_A5.tar.001","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Object (grammar); Set (abstract data type); Compression (physics)","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":["insufficient_payload"],"category_scores_codex":[0.0009895783,0.002305294,0.001537355,0.004626502,0.00125736,0.003030374,0.003312534,0.002184401,0.32462],"category_scores_gemma":[0.00726557,0.0008089423,0.001268604,0.00898672,0.0005375881,0.001696158,0.002054012,0.001548351,0.3471722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916958,"about_ca_system_score_gemma":0.003071149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04098886,"about_ca_topic_score_gemma":0.05730395,"domain_scores_codex":[0.9987313,0.0001933555,0.0001806638,0.0003738898,0.0002714856,0.0002494309],"domain_scores_gemma":[0.995966,0.001159376,0.0002703605,0.0009538389,0.001271092,0.0003794118],"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":[0.00004140491,0.00001211381,0.0001616227,0.000241546,0.000007598984,0.000008686453,0.000008804163,0.00006861945,0.00005656294,0.0001897085,0.9984036,0.0007997097],"study_design_scores_gemma":[0.0002520855,0.00002349562,0.002880838,0.0002070836,0.0000237506,0.0000439867,0.00009297609,0.0003124938,0.000480242,0.001188639,0.9944628,0.0000316226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004594378,0.00001644271,0.00003363916,0.00003363903,0.00001559298,0.000006579457,0.998889,0.0003375307,0.0006217216],"genre_scores_gemma":[0.0002386056,0.00002305146,0.0001309516,0.00002957496,0.000008438917,0.0000396936,0.9984884,0.0001343588,0.00090694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.67538,"threshold_uncertainty_score":0.9633476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1957754055088553,"score_gpt":0.3904252448220431,"score_spread":0.1946498393131878,"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."}}