{"id":"W4312370029","doi":"10.1057/978-1-349-96053-8_330","title":"Fahs-Beck Fund for Research and Experimentation","year":2022,"lang":"en","type":"book-chapter","venue":"The Grants Register 2023","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federation University Australia; Australian Sports Commission; Fanconi Anemia Research Fund","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0180361,0.001114432,0.001136987,0.003367846,0.002392161,0.003253907,0.001651485,0.001457302,0.2711252],"category_scores_gemma":[0.03419508,0.0006387113,0.0006364432,0.002875888,0.002305192,0.002763958,0.003623568,0.003287592,0.0584227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00273273,"about_ca_system_score_gemma":0.0112995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01143465,"about_ca_topic_score_gemma":0.01334464,"domain_scores_codex":[0.9918104,0.004000632,0.0004702547,0.0008170668,0.002137086,0.0007647137],"domain_scores_gemma":[0.9728867,0.01147956,0.0006839438,0.007093943,0.005484093,0.002371709],"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":[0.0007694731,0.0002385303,0.001556039,0.0002721141,0.00002907383,0.0001169378,0.0008115246,0.000180192,0.0004819579,0.1542531,0.5072797,0.3340114],"study_design_scores_gemma":[0.0001481074,0.0001393505,0.002412548,0.0004306528,0.00002248117,0.000229966,0.0002429713,0.0001501401,0.0003137923,0.01223833,0.9836546,0.00001716018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005136493,0.01604095,0.01917697,0.03125953,0.006120731,0.002164402,0.02059221,0.002079014,0.8974296],"genre_scores_gemma":[0.07814928,0.02091896,0.08474455,0.004592785,0.001228737,0.007282003,0.01092677,0.001445082,0.7907119],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7288748,"threshold_uncertainty_score":0.9070041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3141918538823217,"score_gpt":0.4243047811135829,"score_spread":0.1101129272312612,"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."}}