{"id":"W6969220624","doi":"10.5281/zenodo.7805613","title":"DEB-resource-and-seasonality","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Code (set theory); Seasonality; Energy budget; Measure (data warehouse); Resource (disambiguation)","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":[0.001134365,0.001676995,0.001169492,0.0007528817,0.0009128255,0.001402246,0.003395888,0.001578239,0.1730881],"category_scores_gemma":[0.004458407,0.001366162,0.001696342,0.001009214,0.0004449914,0.001939644,0.00205285,0.002581577,0.05617397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263287,"about_ca_system_score_gemma":0.001932814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0280532,"about_ca_topic_score_gemma":0.0288529,"domain_scores_codex":[0.9996711,0.00006507588,0.00002504004,0.00008627899,0.00007942407,0.0000731605],"domain_scores_gemma":[0.9990709,0.0003403948,0.00005067217,0.0001950475,0.0002372126,0.0001057685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004463419,0.0001537222,0.006216896,0.00083641,0.0002417226,0.0001738998,0.0002390108,0.09491677,0.002759465,0.02300553,0.8466784,0.02433191],"study_design_scores_gemma":[0.0009604787,0.00006006622,0.002909868,0.0002135605,0.0001050446,0.0001835215,0.00009780406,0.3587257,0.005252079,0.02962159,0.6016967,0.0001736308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02286369,0.0005780104,0.1631991,0.001644956,0.001235603,0.0007071915,0.3826956,0.3133816,0.1136943],"genre_scores_gemma":[0.1314805,0.0006783913,0.2374574,0.002165594,0.0002336858,0.003402713,0.303351,0.269251,0.05197974],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1730881,"threshold_uncertainty_score":0.5790375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06681152753324432,"score_gpt":0.3191115683760639,"score_spread":0.2523000408428195,"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."}}