{"id":"W6931315284","doi":"10.5281/zenodo.7871802","title":"virtualcell/vcell: [Alpha] (7.5.0.28) BSTS valid VCell 7.5","year":2023,"lang":"it","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glycemic Index Laboratories","funders":"","keywords":"Set (abstract data type); Relation (database); Intersection (aeronautics); Focus (optics); Field (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":[0.002855952,0.002562656,0.001640903,0.002407281,0.001634515,0.008317179,0.006240377,0.003723277,0.3977413],"category_scores_gemma":[0.006319339,0.001524782,0.0009484112,0.001941554,0.001241707,0.004168215,0.004521732,0.004231039,0.4029904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002837888,"about_ca_system_score_gemma":0.002741333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004648365,"about_ca_topic_score_gemma":0.003616154,"domain_scores_codex":[0.9975273,0.0003459049,0.0001207429,0.0002758182,0.001131048,0.0005993108],"domain_scores_gemma":[0.9964455,0.0006052834,0.0001497726,0.0008779542,0.001171735,0.0007498541],"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":[0.0004375656,0.0000689909,0.0002445886,0.0002716349,0.00003132129,0.0001209345,0.0001035966,0.002190979,0.005026769,0.03272789,0.9088824,0.04989336],"study_design_scores_gemma":[0.0001874977,0.00009922274,0.0002058085,0.0001093579,0.00002635341,0.000271444,0.00003087309,0.009755656,0.01241435,0.01154597,0.9652504,0.0001030712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.002433153,0.001123347,0.1726128,0.001274052,0.001746439,0.000556939,0.01928158,0.367713,0.4332586],"genre_scores_gemma":[0.05523986,0.001945764,0.06236741,0.00246743,0.001167732,0.00152762,0.06261813,0.1940745,0.6185917],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3977413,"threshold_uncertainty_score":0.859049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03944940958146072,"score_gpt":0.2887578446779019,"score_spread":0.2493084350964412,"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."}}