{"id":"W4394052236","doi":"10.5281/zenodo.7740733","title":"Freehand ultrasound without external trackers","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Engineering Technology and Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"BitTorrent tracker; Ultrasound; Computer science; Computer vision; Environmental science; Computer graphics (images); Medicine; Radiology; Eye tracking","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006615756,0.0002689978,0.0002682411,0.0003857308,0.001046225,0.0002903439,0.001663521,0.0002504343,0.07707845],"category_scores_gemma":[0.0008463966,0.000308997,0.00007249616,0.0003515928,0.0001675037,0.0001150363,0.0007904339,0.001217079,0.001588179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001975379,"about_ca_system_score_gemma":0.000002452114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001229707,"about_ca_topic_score_gemma":4.68325e-7,"domain_scores_codex":[0.9984555,0.0002093104,0.0002502664,0.0003662002,0.0002958483,0.0004229294],"domain_scores_gemma":[0.9989525,0.00006012807,0.00006274872,0.000732772,0.00008584914,0.0001060076],"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":[0.00001469285,0.00002687975,2.186013e-7,0.0001632775,0.00008101603,0.00003173803,0.00005948159,0.001857774,0.001168898,0.00006943033,0.9879848,0.008541733],"study_design_scores_gemma":[0.0002281174,0.0001091348,0.00003998025,0.00003205433,0.00004021034,0.0003010753,0.00006624064,0.00006828021,0.0002781652,0.0001122286,0.9984141,0.0003104389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006393957,0.0007160535,0.007487461,0.00004593844,0.0007487696,0.0003667315,0.9816895,0.004420013,0.003886151],"genre_scores_gemma":[0.0007823279,0.001438143,0.001357565,0.00003388138,0.0001632018,2.161048e-7,0.9943315,0.001670223,0.0002228901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07549027,"threshold_uncertainty_score":0.9999362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03822147859617602,"score_gpt":0.2548077413756916,"score_spread":0.2165862627795155,"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."}}