{"id":"W4297780663","doi":"10.5281/zenodo.7071856","title":"KBI-Regex Datasets","year":2022,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.001551794,0.003122302,0.001582338,0.003865262,0.001657188,0.002489101,0.004215888,0.003650641,0.0431989],"category_scores_gemma":[0.007641819,0.0008267644,0.001342022,0.007127065,0.0006153015,0.002808665,0.00200685,0.002967283,0.05963257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002657618,"about_ca_system_score_gemma":0.002638917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03743967,"about_ca_topic_score_gemma":0.03653697,"domain_scores_codex":[0.9980053,0.0004577625,0.0002940094,0.0004476325,0.0005560451,0.0002391787],"domain_scores_gemma":[0.9969845,0.0007603951,0.0001886048,0.0009843383,0.0008443905,0.0002376839],"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":[0.0002790952,0.0001762122,0.0006349827,0.0009325696,0.00005829669,0.0001228882,0.00005199067,0.001912867,0.0008422512,0.001608797,0.9857953,0.007584929],"study_design_scores_gemma":[0.0007701843,0.000128961,0.004656557,0.0002821927,0.00008980582,0.000387576,0.000307534,0.007403617,0.003678281,0.00373283,0.9784768,0.00008562166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002635429,0.0006456819,0.0006736921,0.0004373192,0.0001092812,0.0001545083,0.9845621,0.005628337,0.005153602],"genre_scores_gemma":[0.002435254,0.0001480344,0.001264679,0.00009590216,0.00001056664,0.0001550846,0.9945258,0.0001723689,0.001192311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0431989,"threshold_uncertainty_score":0.1445147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401106583812267,"score_gpt":0.264477917802599,"score_spread":0.2304668519644764,"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."}}