{"id":"W6977284825","doi":"10.71842/5nxv-4y57","title":"CWS-Ontario HADMU Recordings - 2022","year":2023,"lang":"en","type":"dataset","venue":"BirdsCanada_Repo","topic":"Medical Education and Admissions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Noise (video); Electrodiagnosis; Process (computing)","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":[0.0003114079,0.0003403691,0.0006358519,0.000346203,0.0001789102,0.00003992252,0.0002758243,0.0004404642,0.03651204],"category_scores_gemma":[0.003824317,0.0002859542,0.0002195628,0.0004809831,0.00007379433,0.00002993548,0.0001243485,0.001165883,0.003021454],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008004531,"about_ca_system_score_gemma":0.01603425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3682087,"about_ca_topic_score_gemma":0.3646152,"domain_scores_codex":[0.9972868,0.0000405356,0.0005582796,0.0005946862,0.00103605,0.0004836576],"domain_scores_gemma":[0.9961041,0.0001283356,0.0002294436,0.000990098,0.0001228383,0.002425229],"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":[0.0000215577,0.0001016295,0.0000403649,0.0001877943,0.00009634437,0.000454887,0.00002204588,6.187209e-8,0.00001610956,0.000005758495,0.9981189,0.0009345942],"study_design_scores_gemma":[0.0004020454,0.00009370904,0.0006177211,0.0003913716,0.0002298268,0.0001783442,0.00007779426,0.000002733114,0.000009541403,0.00002400971,0.9976886,0.0002843344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001784645,0.000175185,0.000001310426,0.01466737,0.006480489,0.0005942247,0.9734584,0.0002120347,0.004232516],"genre_scores_gemma":[0.000006217078,0.0002611444,0.00005926907,0.007020834,0.0008908612,0.00007060712,0.7966368,0.00005092979,0.1950033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1907708,"threshold_uncertainty_score":0.9999593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152005795431945,"score_gpt":0.3152450494404768,"score_spread":0.2837249914861574,"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."}}