{"id":"W4394507354","doi":"10.6084/m9.figshare.156472.v1","title":"Scientific data informatics","year":2013,"lang":"en","type":"dataset","venue":"Figshare","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Informatics; Computer science; Data science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003836574,0.0007240508,0.0005655365,0.004262511,0.001619324,0.005929223,0.001422604,0.001218361,0.0808863],"category_scores_gemma":[0.006033937,0.0007066271,0.0008093814,0.007616285,0.001116472,0.007599045,0.004169225,0.003251719,0.07442185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002445868,"about_ca_system_score_gemma":0.003088463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003872338,"about_ca_topic_score_gemma":0.007875849,"domain_scores_codex":[0.9982839,0.0005429348,0.0001232702,0.0003116638,0.0006697659,0.00006837385],"domain_scores_gemma":[0.9966316,0.0008463978,0.00009167802,0.0009661004,0.0009880892,0.0004760774],"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":[0.00001275889,0.00001671914,0.0001356206,0.00008096524,0.000003889572,0.00002026482,0.00006577433,0.0001822236,0.0002771012,0.02571249,0.9085667,0.06492557],"study_design_scores_gemma":[0.00000221295,0.000001861445,0.0001423822,0.00004337156,6.63994e-7,0.00002569315,0.00002086415,0.0002469141,0.00009440589,0.01409544,0.9853222,0.000003910404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.001089722,0.01248165,0.4112546,0.0753291,0.01394074,0.001233831,0.1046791,0.01435059,0.3656406],"genre_scores_gemma":[0.009772304,0.01811345,0.2690261,0.01838407,0.005221325,0.001779867,0.1767879,0.007335906,0.493579],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0808863,"threshold_uncertainty_score":0.2705916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.25378657685647,"score_gpt":0.3208533167723955,"score_spread":0.06706673991592543,"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."}}