{"id":"W6949142879","doi":"10.5281/zenodo.12752245","title":"Trackerless 3D Freehand Ultrasound Reconstruction Challenge 2024 - Validation Dataset","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orientation (vector space); Code (set theory); Set (abstract data type); Frame (networking); Test set; Speckle pattern; Line (geometry); Data set","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":[0.004238809,0.006060534,0.003586745,0.002350061,0.001394229,0.003279272,0.006685507,0.005028757,0.04368285],"category_scores_gemma":[0.008610022,0.001294682,0.004183928,0.001707114,0.001185982,0.001619769,0.005164028,0.004035752,0.05667863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593361,"about_ca_system_score_gemma":0.003254684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01700869,"about_ca_topic_score_gemma":0.02675607,"domain_scores_codex":[0.995295,0.0009269831,0.000311557,0.001127247,0.001844272,0.0004949311],"domain_scores_gemma":[0.9962695,0.0007759123,0.0001417114,0.001247672,0.001237482,0.0003277297],"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":[0.0007933176,0.0005891344,0.001495799,0.001326486,0.0002908186,0.0004348064,0.00005709452,0.009017449,0.004393712,0.000798827,0.8601865,0.120616],"study_design_scores_gemma":[0.001950419,0.001636824,0.01493895,0.001597351,0.0004084181,0.00564776,0.0005319674,0.2066283,0.02977799,0.007418533,0.7288849,0.0005786679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04696342,0.009657908,0.1365127,0.004094759,0.007458404,0.00454232,0.6404251,0.1177747,0.0325707],"genre_scores_gemma":[0.02944607,0.000899404,0.05653392,0.001243188,0.0003273264,0.001594149,0.8865049,0.003740169,0.01971078],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04368285,"threshold_uncertainty_score":0.1461337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137628772114488,"score_gpt":0.2460685095733304,"score_spread":0.2246922218521855,"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."}}