{"id":"W4284884803","doi":"10.1101/2022.07.06.498965","title":"Introducing Mouffet, a unified framework to make model creation easier and more reproducible","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Python (programming language); Computer science; Process (computing); Iterative and incremental development; Software engineering; Set (abstract data type); Data science; Machine learning; Artificial intelligence; Human–computer interaction; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009211211,0.00238984,0.001620633,0.002367859,0.001409482,0.004978888,0.006768793,0.002350866,0.01700247],"category_scores_gemma":[0.02459951,0.002203812,0.004539507,0.001207339,0.001957605,0.005793909,0.008681984,0.006306261,0.009164581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199072,"about_ca_system_score_gemma":0.004073853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004934868,"about_ca_topic_score_gemma":0.005415793,"domain_scores_codex":[0.9970079,0.0007295541,0.0004002059,0.0005606971,0.001042113,0.0002595655],"domain_scores_gemma":[0.9934243,0.002729406,0.0004112888,0.001848883,0.001080873,0.000505202],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001294016,0.0007201916,0.01270406,0.003829728,0.001575208,0.001701873,0.00130788,0.2141101,0.02362994,0.1687749,0.3412445,0.2291078],"study_design_scores_gemma":[0.0003752512,0.0001492433,0.001822813,0.0007260718,0.0001585493,0.0005580085,0.00009219099,0.5134962,0.01902791,0.1474469,0.3157019,0.0004447979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002024026,0.000178767,0.8311417,0.0005806192,0.0003682782,0.0002230521,0.005006227,0.1581696,0.002307668],"genre_scores_gemma":[0.04550378,0.0008222194,0.8041466,0.001374753,0.0002776156,0.002376112,0.03208121,0.1080073,0.005410322],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9907888,"threshold_uncertainty_score":0.05687892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062666270601933,"score_gpt":0.2470289433566992,"score_spread":0.2264022806506799,"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."}}