{"id":"W3111430521","doi":"10.1371/journal.pone.0243139","title":"Development platform for artificial pancreas algorithms","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Diabetes Management and Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Montreal Clinical Research Institute","funders":"","keywords":"Computer science; Cloud computing; Debugging; Algorithm; Plug-in; Virtual machine; Graphical user interface; Python (programming language); Embedded system; Machine learning; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.001429751,0.001063394,0.0005177951,0.000657543,0.0003898325,0.001449915,0.00211822,0.0009534341,0.01580772],"category_scores_gemma":[0.006043032,0.0005538342,0.001066682,0.000452804,0.000526161,0.001116676,0.00184052,0.001887956,0.009585715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006492225,"about_ca_system_score_gemma":0.001824333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00139478,"about_ca_topic_score_gemma":0.0005849278,"domain_scores_codex":[0.9988826,0.0001877937,0.000112644,0.0002156671,0.0005011158,0.0001002761],"domain_scores_gemma":[0.9975615,0.0007463068,0.0001542147,0.0004291918,0.0009535878,0.0001552315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007642334,0.0004264076,0.004868414,0.001106918,0.0002724138,0.000949756,0.0004571637,0.2152698,0.04899088,0.07105311,0.08418615,0.5716548],"study_design_scores_gemma":[0.0003065719,0.0002931432,0.001181666,0.0001805228,0.00007025593,0.0006653744,0.00004246601,0.6847823,0.05156146,0.02760272,0.2332224,0.0000911706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004402464,0.0002842017,0.961572,0.0003233113,0.0002343787,0.0003171156,0.0005223637,0.02488784,0.007456386],"genre_scores_gemma":[0.1082713,0.0008960546,0.8654018,0.0004968389,0.0001456451,0.001297833,0.003621424,0.0077604,0.01210866],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01580772,"threshold_uncertainty_score":0.05288208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2256328020323321,"score_gpt":0.3010061828360659,"score_spread":0.07537338080373379,"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."}}