{"id":"W2342888082","doi":"10.5281/zenodo.46863","title":"pyGeno: a Python Package for Precision Medicine (1.2.6)","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Research in Immunology and Cancer; Université de Montréal","funders":"","keywords":"Python (programming language); Computer science; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.00303473,0.001843878,0.002163068,0.00200266,0.001066537,0.003169263,0.004318889,0.001228287,0.08866855],"category_scores_gemma":[0.008197046,0.001717012,0.002018339,0.001855906,0.0009281067,0.002674347,0.003928578,0.004376478,0.0622388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000762088,"about_ca_system_score_gemma":0.002667577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002323958,"about_ca_topic_score_gemma":0.002133026,"domain_scores_codex":[0.9985275,0.0003219047,0.0001410316,0.0003435632,0.0004985585,0.0001674434],"domain_scores_gemma":[0.9979481,0.0008180835,0.0002404803,0.0004277995,0.0003435817,0.0002220419],"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":[0.0007874402,0.00008919424,0.002735792,0.002235136,0.0004785421,0.0003088534,0.0003264843,0.006069838,0.007435322,0.0163643,0.8373322,0.1258369],"study_design_scores_gemma":[0.0005590016,0.0001052907,0.003318857,0.0004537272,0.0002045918,0.0009594462,0.00007774936,0.05123064,0.02497347,0.07793364,0.8398643,0.0003192351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002023093,0.001231231,0.4153471,0.0009562736,0.0005424623,0.0002504468,0.05621246,0.5126032,0.01083388],"genre_scores_gemma":[0.03689535,0.00190375,0.5421805,0.003603859,0.0004905835,0.002452603,0.08600613,0.3088154,0.01765179],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.08866855,"threshold_uncertainty_score":0.2966259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04080193947772064,"score_gpt":0.2737143561198679,"score_spread":0.2329124166421473,"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."}}