{"id":"W3135456059","doi":"10.17504/protocols.io.u83ezyn","title":"Ultrasound for Small Animal Imaging v1","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ultrasound; Biomedical engineering; Ultrasound imaging; Medicine; Radiology","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":[0.001011751,0.000777506,0.000477137,0.001160967,0.0005371745,0.0008588323,0.0008234862,0.001165341,0.04929977],"category_scores_gemma":[0.00126568,0.0007261349,0.00044825,0.0008655335,0.0005610826,0.0006783683,0.001033369,0.001359447,0.01453281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003665563,"about_ca_system_score_gemma":0.000626653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008326343,"about_ca_topic_score_gemma":0.002975823,"domain_scores_codex":[0.99953,0.00008581877,0.00002883767,0.000114348,0.0001898023,0.00005126482],"domain_scores_gemma":[0.9994313,0.0001832389,0.0000611208,0.0001463989,0.0001073647,0.00007055562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002291562,0.00005126912,0.0003178362,0.0005525426,0.00002629491,0.0001404856,0.0001486098,0.0003405803,0.8556635,0.005956382,0.01731244,0.1192609],"study_design_scores_gemma":[0.0002068623,0.001116511,0.007378309,0.0004761716,0.0001219456,0.004509752,0.0001524427,0.01328146,0.5242159,0.007928713,0.44047,0.0001419391],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02269107,0.006934172,0.9011788,0.001057503,0.0007690567,0.001028031,0.003198634,0.01145398,0.05168886],"genre_scores_gemma":[0.1037097,0.005123577,0.8332278,0.0008823631,0.0003038481,0.002787928,0.003426437,0.002525328,0.04801312],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04929977,"threshold_uncertainty_score":0.1649242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05831842742761784,"score_gpt":0.3258114194210819,"score_spread":0.267492991993464,"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."}}