{"id":"W6912096490","doi":"10.5281/zenodo.2546904","title":"Latent tree model software used in clonealign paper","year":2019,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Software; Tree (set theory); Decision tree model; Software system; Software development; Data modeling","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004881046,0.0006470435,0.0007040934,0.0005321112,0.0000194226,0.00006412312,0.0007179523,0.000969644,0.5664429],"category_scores_gemma":[0.0003679764,0.0006364615,0.0002254745,0.0003117356,0.00000677904,0.0001148237,0.0002673245,0.0005217477,0.438365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724018,"about_ca_system_score_gemma":0.0002716253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001370414,"about_ca_topic_score_gemma":0.002204237,"domain_scores_codex":[0.9975278,0.00007591731,0.0003340456,0.0008175013,0.0005903141,0.0006544522],"domain_scores_gemma":[0.9981906,0.00004690721,0.0003465162,0.001213903,0.00005551854,0.0001465618],"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":[0.00001176745,0.00006522491,0.00008077303,0.0005897961,0.00004697896,0.00005410199,0.00006899681,0.0009455038,0.00002705294,0.000004458802,0.9978392,0.0002661087],"study_design_scores_gemma":[0.001162693,0.00002104082,0.0004295924,0.0120387,0.00002309071,0.000003245899,0.000004028368,0.002666398,0.00001808348,0.00002754509,0.9826587,0.0009468968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000001631544,0.001236202,7.539483e-7,0.0000132922,0.00004953569,0.0009931849,0.7066013,0.0008546863,0.2902495],"genre_scores_gemma":[0.0002031246,0.000003573507,0.0002397916,0.0001830906,0.000164856,0.0004100021,0.3824148,0.002892273,0.6134885],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3241864,"threshold_uncertainty_score":0.9996087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07496191334310387,"score_gpt":0.2779420817845673,"score_spread":0.2029801684414634,"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."}}