{"id":"W6968679617","doi":"10.5281/zenodo.15272488","title":"source data","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","keywords":"Data source; Field (mathematics); Identification (biology); Information source (mathematics); Pipeline (software)","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":[0.003007883,0.00139967,0.001472391,0.009035463,0.001084442,0.003587534,0.002715618,0.001695821,0.5030354],"category_scores_gemma":[0.03624445,0.0006233173,0.0009406421,0.01792729,0.0005580575,0.002892818,0.002911519,0.0020136,0.3085825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695998,"about_ca_system_score_gemma":0.005434956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01785744,"about_ca_topic_score_gemma":0.01359258,"domain_scores_codex":[0.9969745,0.000373308,0.0007344938,0.0005808502,0.001006076,0.0003307814],"domain_scores_gemma":[0.978972,0.006557686,0.001452448,0.003028023,0.009026059,0.0009639059],"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":[0.0001257349,0.00001611606,0.001380424,0.0007594888,0.00003747235,0.00003022735,0.00003915558,0.0001784984,0.00007194406,0.001068704,0.9877577,0.00853458],"study_design_scores_gemma":[0.0001406682,0.00001398152,0.003900662,0.0006421421,0.00004401712,0.00005589697,0.0001666733,0.0001556531,0.000265107,0.002948993,0.9916329,0.00003325554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001207949,0.00004872248,0.0002431255,0.0001942303,0.0000951985,0.00003734699,0.9952515,0.00036273,0.003646314],"genre_scores_gemma":[0.001730926,0.0002176226,0.002009772,0.0002819499,0.00006151376,0.000536426,0.9874391,0.0009492753,0.006773346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5030354,"threshold_uncertainty_score":0.7088597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06204033602892331,"score_gpt":0.2944084075524318,"score_spread":0.2323680715235085,"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."}}