{"id":"W6893989476","doi":"10.5281/zenodo.5975507","title":"akhanf/snakebids: 0.5.0","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Code refactoring; Function (biology); Path (computing); Process (computing); Suite; Test (biology); Test suite","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":[0.002790327,0.003499402,0.001286544,0.002445604,0.0006700985,0.003272416,0.006345163,0.002617464,0.2341226],"category_scores_gemma":[0.009694898,0.003527998,0.002272215,0.001038685,0.00118601,0.004874888,0.004335872,0.003739149,0.2729563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153956,"about_ca_system_score_gemma":0.001338761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003882933,"about_ca_topic_score_gemma":0.002995234,"domain_scores_codex":[0.998066,0.000214622,0.000146909,0.0004489995,0.0008289781,0.0002945089],"domain_scores_gemma":[0.9959388,0.0009877298,0.0002422704,0.001391921,0.001046517,0.0003926775],"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":[0.0006719999,0.000105954,0.001421074,0.0008027575,0.00008728043,0.0002036376,0.0003131313,0.001039082,0.004888136,0.006115631,0.916178,0.06817331],"study_design_scores_gemma":[0.0003065831,0.00008735152,0.002060409,0.0002426436,0.00006038528,0.0005279156,0.00005743997,0.004966713,0.02055032,0.005965788,0.9649433,0.0002312159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001116984,0.0002192159,0.04123442,0.0001831057,0.0002224301,0.0001152648,0.01159758,0.9225116,0.02279942],"genre_scores_gemma":[0.0171151,0.0003133563,0.03219016,0.0008232145,0.0001231027,0.0005886057,0.05059455,0.8371434,0.06110853],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2341226,"threshold_uncertainty_score":0.7832181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335672410006337,"score_gpt":0.2466398242415482,"score_spread":0.2130725832409145,"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."}}