{"id":"W4407118566","doi":"10.1371/journal.pcbi.1012731","title":"Ten quick tips to build a Model Life Cycle","year":2025,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Research Data Management Practices","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Courtois Foundation; Wellcome Trust; National Science Foundation","keywords":"Computer science","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":[0.0003739806,0.000110177,0.0001505887,0.0003600999,0.000133499,0.0004037074,0.001796659,0.00004913421,0.00001186946],"category_scores_gemma":[0.0008165008,0.0001026813,0.00003406347,0.0006208334,0.00005120295,0.002418677,0.001518553,0.0001397657,0.0002429734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004789373,"about_ca_system_score_gemma":0.0002599921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000028965,"about_ca_topic_score_gemma":0.000007147641,"domain_scores_codex":[0.9985317,0.00015517,0.0002319871,0.0005428713,0.000231685,0.0003065759],"domain_scores_gemma":[0.9985636,0.0006032622,0.00006224747,0.0004772859,0.0001634363,0.0001302056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001557879,0.0001064987,0.0007339922,0.0000149924,0.00007655181,0.000002949745,0.0000415253,0.140403,0.0001867111,0.8476525,0.006868295,0.003897407],"study_design_scores_gemma":[0.0001997135,0.00005987632,0.002099653,0.000009984969,0.000005088572,0.000001081443,0.000006489351,0.8883363,0.00003367278,0.09901823,0.0101256,0.000104305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0108797,0.00005426487,0.9482678,0.03267292,0.0001089717,0.0002695532,0.00001951879,0.0001419656,0.007585313],"genre_scores_gemma":[0.6824086,0.00002001783,0.3062104,0.01000157,0.0000493113,0.00008245715,0.00007049696,0.000006602565,0.001150632],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7486343,"threshold_uncertainty_score":0.4187223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07571808873609653,"score_gpt":0.3690535982187451,"score_spread":0.2933355094826485,"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."}}