{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01162499,0.001757767,0.001155109,0.002707294,0.003153297,0.008295226,0.003370085,0.003264275,0.02484255],"category_scores_gemma":[0.08805777,0.001853327,0.001492456,0.001714726,0.003483441,0.01599491,0.007448778,0.011135,0.007467034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003984225,"about_ca_system_score_gemma":0.01060699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01188148,"about_ca_topic_score_gemma":0.01273705,"domain_scores_codex":[0.9931552,0.003505596,0.000583566,0.0005370806,0.001756056,0.0004625434],"domain_scores_gemma":[0.9532505,0.02075568,0.001683494,0.01004988,0.01059328,0.003667188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003165778,0.0003673947,0.005414263,0.0008579248,0.0002198166,0.0005384851,0.002104047,0.04501868,0.001733457,0.4696203,0.1679874,0.3058216],"study_design_scores_gemma":[0.00009356595,0.0001205462,0.0006975704,0.000725892,0.00006118843,0.0002108895,0.001625645,0.04256654,0.001547339,0.7963592,0.1558413,0.0001502928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009259032,0.001089787,0.8883753,0.06613991,0.002457705,0.0006084742,0.001312282,0.004673347,0.02608419],"genre_scores_gemma":[0.07440413,0.001294795,0.9053666,0.004002348,0.0004781005,0.0007319714,0.001434996,0.002655241,0.00963186],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02484255,"threshold_uncertainty_score":0.08310664,"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."}}