{"id":"W6930413708","doi":"10.5281/zenodo.13293238","title":"ssm-lab/ai-simulation-dt-replication-package: v1.0.0","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics); Work (physics)","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":[0.002402697,0.002968814,0.002900363,0.00194861,0.0009819972,0.002668779,0.007032333,0.002605514,0.2994372],"category_scores_gemma":[0.006460486,0.002388119,0.002666956,0.001869894,0.0007197785,0.002101373,0.002275518,0.004155713,0.2612742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231514,"about_ca_system_score_gemma":0.001661118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007439114,"about_ca_topic_score_gemma":0.006868779,"domain_scores_codex":[0.9988279,0.0003554676,0.00008511165,0.0002151917,0.0003335263,0.0001828079],"domain_scores_gemma":[0.9974228,0.001043962,0.0001542809,0.0005723072,0.0005271959,0.0002793958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000331003,0.00009685752,0.001063182,0.00134884,0.0003010889,0.0001110426,0.0001484587,0.02225711,0.001743364,0.01054829,0.9439536,0.01809716],"study_design_scores_gemma":[0.0006588435,0.00008655855,0.0009430018,0.0002787382,0.0001571595,0.000212913,0.00006083764,0.09648382,0.009502922,0.02317079,0.8682114,0.0002329535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003069799,0.0008255202,0.1463539,0.0006699435,0.0009304145,0.0003061534,0.2854643,0.5155435,0.0468365],"genre_scores_gemma":[0.03030133,0.0008412507,0.1055968,0.001119413,0.0003936693,0.001853549,0.3122664,0.5130658,0.03456184],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2994372,"threshold_uncertainty_score":0.9992678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02985405872024924,"score_gpt":0.3021318059334464,"score_spread":0.2722777472131971,"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."}}