{"id":"W4393495729","doi":"10.5281/zenodo.7740734","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; Computer graphics (images); Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00141713,0.001747251,0.002059195,0.001658698,0.0004941336,0.001363855,0.002464179,0.001817267,0.02960307],"category_scores_gemma":[0.004027238,0.0008312085,0.001196332,0.001286733,0.0005153477,0.001008571,0.002454702,0.001156572,0.03265362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004394687,"about_ca_system_score_gemma":0.001105792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006234874,"about_ca_topic_score_gemma":0.01256762,"domain_scores_codex":[0.9979302,0.0003070726,0.0001426005,0.0008333061,0.0005504651,0.0002363361],"domain_scores_gemma":[0.998068,0.0004048313,0.0001055883,0.0008452327,0.0004307623,0.0001456263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00205518,0.0005232313,0.006200745,0.002289225,0.0002794501,0.000513794,0.0001608388,0.006446202,0.05126539,0.0009638382,0.4341792,0.4951229],"study_design_scores_gemma":[0.0008174899,0.001642421,0.06344038,0.001077443,0.0003764998,0.007282589,0.0003938045,0.1080664,0.08176242,0.006877905,0.7278056,0.0004571252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08992513,0.01025844,0.3563819,0.00164296,0.003252147,0.002997621,0.3923194,0.1144056,0.02881689],"genre_scores_gemma":[0.1184174,0.002221226,0.1657637,0.001602112,0.0005414625,0.003050442,0.6800939,0.004391411,0.02391838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02960307,"threshold_uncertainty_score":0.0990321,"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."}}