{"id":"W4391728357","doi":"10.1007/978-3-031-17299-1_4228","title":"BellagioSTAMP","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Health, psychology, and well-being","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Institute for Sustainable Development","funders":"","keywords":"Computer science","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":[0.0002089486,0.001090649,0.0006846984,0.001449258,0.002370647,0.004787232,0.0008788464,0.001853882,0.6146507],"category_scores_gemma":[0.0006930372,0.0005858194,0.0003528279,0.001831093,0.0006491715,0.003559949,0.002494601,0.0025674,0.4140923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007353272,"about_ca_system_score_gemma":0.0007156794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004497718,"about_ca_topic_score_gemma":0.01733688,"domain_scores_codex":[0.999796,0.00002011162,0.000007231371,0.00006919348,0.00007071355,0.00003682535],"domain_scores_gemma":[0.9998106,0.00005963671,0.00001081591,0.00002657742,0.00004933826,0.00004297999],"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":[0.00005327762,0.00004870544,0.0001971628,0.000215012,0.000004176712,0.0001774194,0.0006367745,0.0001336011,0.0007180396,0.04513535,0.5422636,0.4104169],"study_design_scores_gemma":[0.00000297615,0.000005137934,0.0001591069,0.00009147255,0.000001362919,0.00008799456,0.0001130791,0.00003726304,0.00008440881,0.002103225,0.9973108,0.000003285801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004445754,0.008662185,0.000665382,0.0009747634,0.0005891167,0.00001999852,0.0003472659,0.0002667632,0.9880298],"genre_scores_gemma":[0.001176932,0.001731536,0.0003103781,0.0001737695,0.00003880257,0.00001487497,0.0001054338,0.0001069607,0.9963413],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6146507,"threshold_uncertainty_score":0.5496539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1295601423110204,"score_gpt":0.4606581032246259,"score_spread":0.3310979609136055,"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."}}