{"id":"W4398717771","doi":"10.7910/dvn/fmk6sq/wj26ja","title":"MB Data_database.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Database; Computer science","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":[0.001290865,0.002982429,0.002077031,0.00573132,0.0009062889,0.004343869,0.003855807,0.002866071,0.3927725],"category_scores_gemma":[0.01029424,0.001155528,0.001281542,0.008565333,0.0006506643,0.003166644,0.003006103,0.001934273,0.3803568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763307,"about_ca_system_score_gemma":0.002238802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01649771,"about_ca_topic_score_gemma":0.0196944,"domain_scores_codex":[0.9988637,0.0001790159,0.0001194346,0.0004131418,0.0002228227,0.0002019307],"domain_scores_gemma":[0.9962741,0.001168224,0.0002860292,0.0009788998,0.0008390572,0.0004536592],"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":[0.00003544768,0.000008452475,0.0001697705,0.0004362887,0.00001744983,0.000007012255,0.00001168906,0.00008055065,0.00006169322,0.0004049416,0.9976929,0.001073964],"study_design_scores_gemma":[0.000224676,0.00001790545,0.001160869,0.0002625196,0.00002454041,0.00002783961,0.00003969615,0.0002394494,0.0003620821,0.001481066,0.9961311,0.00002834757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003439807,0.00004262447,0.00004348033,0.00007297665,0.00002870848,0.000005845879,0.9982017,0.0006865772,0.0008837598],"genre_scores_gemma":[0.0004076321,0.0000663973,0.0001672278,0.00009435538,0.00001766684,0.00005160913,0.9977385,0.0004064261,0.001050139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6072274,"threshold_uncertainty_score":0.8661363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990324409020428,"score_gpt":0.2634319299094007,"score_spread":0.2335286858191964,"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."}}