{"id":"W6926723187","doi":"10.25545/mmnbnm/sjumhr","title":"082106-ecg baseline.csv","year":2025,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"Chemical and Physical Properties of Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[],"category_scores_codex":[0.001134168,0.005952804,0.002918146,0.003706865,0.001307444,0.00333968,0.004556812,0.004452772,0.1054162],"category_scores_gemma":[0.004432521,0.0009273041,0.002252731,0.004685506,0.0008719151,0.002124575,0.002887844,0.002219052,0.2031358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635879,"about_ca_system_score_gemma":0.002010719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02252777,"about_ca_topic_score_gemma":0.03858548,"domain_scores_codex":[0.9986398,0.0002102972,0.0001176131,0.0004513616,0.0003257497,0.0002552028],"domain_scores_gemma":[0.9986433,0.0002493166,0.0000869568,0.0005309457,0.0003047801,0.0001846787],"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":[0.0001020042,0.00004088733,0.0001588295,0.0003562868,0.00002625098,0.0000197825,0.000007596772,0.0003019926,0.0001748313,0.000185471,0.995531,0.00309507],"study_design_scores_gemma":[0.0006932068,0.00009317986,0.002127712,0.0002273127,0.00006446973,0.0001494711,0.00006912992,0.002452336,0.001305884,0.002510831,0.9902444,0.00006203358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003448068,0.0002436775,0.000182081,0.0001507939,0.0001315284,0.00003553718,0.9942993,0.002882448,0.001729854],"genre_scores_gemma":[0.0004915373,0.00007663446,0.0003819872,0.00007278231,0.00002550141,0.00005566302,0.9976221,0.0001523706,0.001121413],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8945838,"threshold_uncertainty_score":0.3526524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392217491028701,"score_gpt":0.2450400698922658,"score_spread":0.2311178949819788,"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."}}