{"id":"W6930652700","doi":"10.5281/zenodo.15052480","title":"Healthcare models","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Population; Healthcare system; Healthcare service; Health policy; Population ageing; Key (lock); Public health; Service (business)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00224829,0.00090842,0.0005585444,0.001737939,0.001382951,0.006887449,0.002431267,0.002972274,0.1134898],"category_scores_gemma":[0.007693201,0.0004302184,0.001227531,0.002549759,0.001480554,0.005077984,0.003299105,0.001992263,0.02626129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004751428,"about_ca_system_score_gemma":0.005367245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01221758,"about_ca_topic_score_gemma":0.006304597,"domain_scores_codex":[0.9972957,0.0008666947,0.0001957097,0.0005324316,0.0007114969,0.0003979739],"domain_scores_gemma":[0.9974284,0.0007951747,0.0001713931,0.0005161072,0.0008365266,0.0002524821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002648467,0.0000453486,0.000868623,0.0001136122,0.00002404065,0.0001004865,0.0001124565,0.008462648,0.00005494113,0.8876727,0.0703668,0.03215178],"study_design_scores_gemma":[0.0000535875,0.00004403601,0.0005269885,0.0002736549,0.00002303853,0.0002843967,0.0003221402,0.02174557,0.0001148565,0.4084118,0.5681667,0.0000332913],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00561728,0.004322153,0.1202496,0.02725595,0.001596056,0.0007844285,0.01030229,0.001146221,0.8287261],"genre_scores_gemma":[0.4160242,0.01414382,0.09161198,0.009881545,0.001653973,0.001830949,0.0204607,0.0006013023,0.4437916],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8865102,"threshold_uncertainty_score":0.3796612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196296870460084,"score_gpt":0.2471785822841511,"score_spread":0.2252156135795503,"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."}}