{"id":"W6902456344","doi":"10.7281/t1/bmathh/bh36cd","title":"19_B8.tar.005","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); Relation (database); 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":[0.00100264,0.002427195,0.00155196,0.004441364,0.001283368,0.003100572,0.003461397,0.00208059,0.3503041],"category_scores_gemma":[0.007218651,0.0009072185,0.001204855,0.008902279,0.0005259995,0.001779324,0.002220803,0.001726901,0.3959194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744171,"about_ca_system_score_gemma":0.002642426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04016138,"about_ca_topic_score_gemma":0.05103273,"domain_scores_codex":[0.9987394,0.0001917055,0.0001699295,0.0003721664,0.0002742373,0.0002525817],"domain_scores_gemma":[0.996182,0.001013453,0.0002530222,0.0009187884,0.001261936,0.0003708691],"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":[0.00003623911,0.00001061058,0.0001290234,0.0001847073,0.000005989319,0.00000693069,0.000008142568,0.00005364888,0.00004722583,0.0001609037,0.9986047,0.000751926],"study_design_scores_gemma":[0.0002501061,0.00001983227,0.002366431,0.0001835481,0.00001765845,0.00003614036,0.00008747898,0.0002596115,0.0004137205,0.001069799,0.9952691,0.00002659499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004323739,0.0000140936,0.0000321749,0.00003873923,0.00001632869,0.000006602279,0.998809,0.0003459676,0.0006939189],"genre_scores_gemma":[0.0001971772,0.00002090758,0.0001288749,0.00002762039,0.00000872946,0.00004172547,0.9983549,0.0001555026,0.001064522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6496959,"threshold_uncertainty_score":0.9267123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2086924870710674,"score_gpt":0.3964915981935649,"score_spread":0.1877991111224976,"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."}}