{"id":"W4381733860","doi":"10.3791/65281-v","title":"JoVE Video Dataset","year":2023,"lang":"pt","type":"article","venue":"","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optokinetic reflex; Computer vision; Computer science; Artificial intelligence; Eye movement; Vestibular system; Luminance; Neuroscience; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004128922,0.002049435,0.001541123,0.003056571,0.0006668482,0.001658536,0.002110577,0.001811572,0.1609609],"category_scores_gemma":[0.001995612,0.0003278671,0.0009853767,0.002663668,0.000236619,0.001281091,0.001587496,0.001144593,0.1338679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000550091,"about_ca_system_score_gemma":0.001013176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00947059,"about_ca_topic_score_gemma":0.02494678,"domain_scores_codex":[0.9995877,0.00004577344,0.00003703112,0.0001221482,0.0001406019,0.00006674468],"domain_scores_gemma":[0.9994183,0.0001494994,0.00004072274,0.000114806,0.0001998677,0.00007674724],"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":[0.0001683718,0.00007368171,0.0005811838,0.001225305,0.00004168022,0.00008443607,0.00003744413,0.000437809,0.00142358,0.0005831803,0.9782006,0.01714283],"study_design_scores_gemma":[0.0001656051,0.00007686605,0.005115165,0.0004239313,0.00005654628,0.0002744655,0.0001345755,0.003503325,0.002246075,0.003549454,0.9843637,0.00009017406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009168195,0.000535451,0.001114212,0.0001377832,0.0001759411,0.0001106624,0.9838333,0.007146216,0.006029678],"genre_scores_gemma":[0.003030024,0.0004280809,0.004069872,0.0001825155,0.00003317631,0.0003660222,0.9858424,0.0009786495,0.005069125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1609609,"threshold_uncertainty_score":0.5384678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235745404241232,"score_gpt":0.3035087927455857,"score_spread":0.2799342523214625,"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."}}