{"id":"W6931582837","doi":"10.5281/zenodo.6816267","title":"The Metastatic Prostate Cancer Project (MPCproject) Code and Associated Data","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prostate cancer; Code (set theory); General partnership; Germline; Foundation (evidence); Cancer","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":[0.00301625,0.00131258,0.0009902659,0.003133584,0.000900463,0.002300033,0.002421256,0.001226139,0.3874542],"category_scores_gemma":[0.01654487,0.0009235352,0.0007929346,0.004603846,0.0006811565,0.001470759,0.002669424,0.001562756,0.247994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788383,"about_ca_system_score_gemma":0.003138514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01739557,"about_ca_topic_score_gemma":0.01837874,"domain_scores_codex":[0.99737,0.0004572835,0.0002390321,0.0004159284,0.001281766,0.0002359344],"domain_scores_gemma":[0.9945717,0.001737414,0.000441876,0.00126868,0.001426061,0.000554242],"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":[0.0001713986,0.00002119834,0.001389462,0.0002578753,0.00001622909,0.00007377262,0.00005664429,0.0008925461,0.0002500417,0.002393311,0.9840568,0.0104207],"study_design_scores_gemma":[0.0001862498,0.00001986742,0.002396811,0.0001569284,0.00001297203,0.0001426519,0.00004246742,0.001348947,0.000956825,0.005883528,0.9888136,0.00003926624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000855787,0.0001154469,0.006328644,0.000414295,0.0001891147,0.000161289,0.9593827,0.01395692,0.01859588],"genre_scores_gemma":[0.004849016,0.0001602531,0.01202553,0.0003749161,0.0000604204,0.0006269066,0.9497111,0.0185919,0.0136],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3874542,"threshold_uncertainty_score":0.8737223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0814272695610087,"score_gpt":0.3218856459361898,"score_spread":0.2404583763751811,"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."}}