{"id":"W4393740847","doi":"10.5281/zenodo.7853027","title":"Dataset Citation and Re-use Data","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Citation; Data science; Information retrieval; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001714429,0.0002535121,0.0002406092,0.0005361633,0.00200892,0.003376127,0.006662382,0.0001749521,0.0009190134],"category_scores_gemma":[0.004612079,0.0002779322,0.000022912,0.0009939161,0.0001295651,0.001173666,0.01515628,0.0008630915,0.02206719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000100302,"about_ca_system_score_gemma":0.00001268716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006628117,"about_ca_topic_score_gemma":0.00001379526,"domain_scores_codex":[0.9962886,0.0009113384,0.0003858971,0.001260151,0.0006961677,0.0004578424],"domain_scores_gemma":[0.9950581,0.0001949687,0.0002624743,0.003841014,0.0003774964,0.0002659516],"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":[0.000008235362,0.00002814987,5.400269e-7,0.0002311263,0.00002474922,0.00004615695,0.00009993324,0.00001250436,0.000003532666,0.0002884338,0.9783598,0.02089683],"study_design_scores_gemma":[0.0001904971,0.0001238346,0.0002255758,0.00007354988,0.00001595089,0.00008103333,0.00002405302,0.003883786,5.349613e-7,0.00008602002,0.9950304,0.0002647713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009505238,0.00006685375,0.00300781,0.001808965,0.000300909,0.0004271264,0.9932796,0.000884644,0.0002146039],"genre_scores_gemma":[0.00002203139,0.0005122844,0.001234211,0.0003761188,0.0001897715,4.613242e-8,0.99669,0.0007836309,0.0001919394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02114817,"threshold_uncertainty_score":0.9999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1486725176998717,"score_gpt":0.3383325486324027,"score_spread":0.189660030932531,"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."}}