{"id":"W6944561151","doi":"10.21227/54cn-v724","title":"BPPV videos dataset samples","year":2022,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Head (geology); Eye movement; Eye tracking; Snippet; Action (physics); Frame (networking)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001888821,0.001285862,0.001379411,0.0008858049,0.0005704821,0.0003139427,0.006021745,0.000492226,0.3299571],"category_scores_gemma":[0.000525753,0.001396929,0.000251751,0.0009886299,0.0003458888,0.0008400728,0.002498707,0.002271606,0.05620825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005195245,"about_ca_system_score_gemma":0.0009514925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009148364,"about_ca_topic_score_gemma":0.002723046,"domain_scores_codex":[0.9919348,0.000403898,0.001385708,0.002435218,0.002498501,0.001341842],"domain_scores_gemma":[0.987535,0.0003158979,0.001183672,0.01035749,0.00008760974,0.0005203263],"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":[0.000100186,0.0003779593,0.00002014523,0.0002201852,0.0003581712,0.001830295,0.000005983096,0.00001656257,0.0001061314,0.000003260038,0.9968611,0.0001000195],"study_design_scores_gemma":[0.0005731853,0.00009146056,0.00004479852,0.00004561383,0.0007078875,0.0003774575,0.00003009296,0.000002309593,0.00004721142,0.00002488047,0.9965368,0.001518287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000823763,0.0002165108,0.000009462322,0.00003868555,0.003485913,0.0009965554,0.9948521,0.0003274271,0.00006508484],"genre_scores_gemma":[5.405065e-7,0.0002540812,0.0001851956,0.001328525,0.001109689,0.0005132954,0.9960445,0.0003451591,0.0002190364],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2737488,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07066846998212081,"score_gpt":0.3318229423039655,"score_spread":0.2611544723218447,"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."}}