{"id":"W4414586197","doi":"10.1002/spe.70024","title":"Project Templating and Onboarding With Cookiecutter: Foundations, Uses, and Guidelines","year":2025,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Telus (Canada); Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Onboarding; Context (archaeology); Python (programming language); Web application; Software; Quality (philosophy); Metadata","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004477874,0.0001641946,0.000175248,0.0001120195,0.0003470707,0.0003410818,0.0001894681,0.00004817014,4.187414e-7],"category_scores_gemma":[0.00786191,0.0001378375,0.00000978037,0.0003551203,0.0001505901,0.0022198,0.0003471951,0.0001496892,3.92312e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002042234,"about_ca_system_score_gemma":0.00007890198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008613035,"about_ca_topic_score_gemma":0.000005100001,"domain_scores_codex":[0.9988732,0.0000860721,0.0002099313,0.0004735527,0.0001432296,0.0002139902],"domain_scores_gemma":[0.9969526,0.00243228,0.0001046715,0.0002889167,0.0001756742,0.00004587897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001197033,0.00005215988,0.02716505,0.0003240943,0.0001123276,0.0001005896,0.02708141,0.001235456,0.001304387,0.02683747,0.000669641,0.9149977],"study_design_scores_gemma":[0.009419349,0.00307945,0.05705583,0.007665144,0.0006400818,0.00823332,0.1306102,0.04519913,0.01754853,0.06563354,0.6459726,0.008942842],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03273794,0.002481896,0.9628378,0.001192304,0.0001265871,0.0001745797,8.570273e-7,0.0003684371,0.00007962061],"genre_scores_gemma":[0.04636891,0.0007136835,0.9519709,0.0007919693,0.00002139524,0.00005910948,6.235974e-7,0.000008080058,0.00006529297],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9060549,"threshold_uncertainty_score":0.9412009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06036869627729666,"score_gpt":0.3940579685862917,"score_spread":0.333689272308995,"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."}}