{"id":"W6930788985","doi":"10.5281/zenodo.14510774","title":"Code Management Guidelines: R and GitHub Starter Kit for New Team Members","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Code (set theory); Set (abstract data type); Source code; Starter; Key (lock)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002403528,0.0001750685,0.0001511169,0.0001075626,0.0003546915,0.0002057381,0.0004914497,0.0001630762,0.002759663],"category_scores_gemma":[0.0002013924,0.0001576609,0.00005895338,0.000100482,0.0000724089,0.000002610586,0.001050791,0.00009144946,0.0002148655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001897327,"about_ca_system_score_gemma":0.000004723285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001496205,"about_ca_topic_score_gemma":0.000001641788,"domain_scores_codex":[0.9988652,0.00007218163,0.0001934477,0.0005052858,0.0001143225,0.0002495178],"domain_scores_gemma":[0.9993166,0.000005417597,0.00009055294,0.0003104888,0.0001697629,0.0001071787],"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":[0.00003765276,0.00002052504,8.311592e-7,0.00009996473,0.0000971144,0.00000137084,0.0000117049,0.000004336659,0.001299703,0.0004488799,0.9135982,0.08437966],"study_design_scores_gemma":[0.0004726653,0.0002183939,0.00001092224,0.00007567172,0.00002890256,0.00000678991,0.00005476724,0.00005738497,0.0002235984,0.00007454903,0.9985932,0.0001832008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001460365,0.0007380156,0.02191816,0.0006187437,0.0001436962,0.0008244285,0.0004739668,0.0002948029,0.9748421],"genre_scores_gemma":[0.00197446,0.001195738,0.007901737,0.001134695,0.0009704609,1.652598e-7,0.006279,0.00276609,0.9777777],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0849949,"threshold_uncertainty_score":0.998152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04042617034678984,"score_gpt":0.280541235884003,"score_spread":0.2401150655372131,"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."}}