{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0005743034,0.0003742404,0.0003421721,0.0004876294,0.003876138,0.001692323,0.007393132,0.0001544721,0.08845387],"category_scores_gemma":[0.0002173898,0.0004181966,0.0001238184,0.001599673,0.000177154,0.000726484,0.01100852,0.001260881,0.09408079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002761573,"about_ca_system_score_gemma":0.000009137661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009625759,"about_ca_topic_score_gemma":1.469213e-7,"domain_scores_codex":[0.9959933,0.0007199669,0.0004176746,0.001247246,0.000872675,0.0007491407],"domain_scores_gemma":[0.9969499,0.00006083452,0.0003157019,0.002075146,0.0003008053,0.0002976366],"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":[0.00001357557,0.00006260803,2.57132e-8,0.00004388579,0.0000344028,0.00004672277,0.0001344979,0.000772119,0.0001050645,0.004164923,0.8975471,0.09707507],"study_design_scores_gemma":[0.0002874417,0.0002069233,0.000005677391,0.00002903565,0.000009637189,0.0002171724,0.00002277682,0.001754169,0.00005641851,0.0002880519,0.9966913,0.0004313799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.00004136789,0.001847351,0.2783479,0.002027361,0.003470998,0.001514466,0.007356292,0.002897379,0.7024969],"genre_scores_gemma":[0.02081376,0.008007162,0.02779256,0.008622528,0.005608404,0.000002004714,0.4960798,0.03193425,0.4011395],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4887235,"threshold_uncertainty_score":0.999827,"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."}}