{"id":"W4386594605","doi":"10.3791/65804-v","title":"JoVE Video Dataset","year":2023,"lang":"pt","type":"article","venue":"","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institutes of Health; H. Lundbeck A/S; Lundbeckfonden; VitreoRetinal Surgery Foundation; Research to Prevent Blindness","keywords":"Workflow; Barcode; Computer science; Interface (matter); Protocol (science); Identification (biology); Human–computer interaction; Database; Operating system; Medicine; Pathology; Biology","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":[0.0004687388,0.00222181,0.001421084,0.002571881,0.0007667844,0.002079567,0.002249678,0.001802113,0.271427],"category_scores_gemma":[0.002630505,0.0004562835,0.0009288701,0.002699186,0.0002599913,0.001597126,0.001838724,0.001383541,0.210241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000724476,"about_ca_system_score_gemma":0.001291701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01940594,"about_ca_topic_score_gemma":0.05218833,"domain_scores_codex":[0.9995969,0.00004996837,0.00003098993,0.0001395772,0.0001058069,0.0000767374],"domain_scores_gemma":[0.9992035,0.0002286656,0.00004697342,0.0001746348,0.0002308376,0.0001154273],"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":[0.00006134964,0.00002625881,0.000251089,0.0003718018,0.00001455543,0.00002399665,0.00001148134,0.0001666451,0.0002023441,0.0002534091,0.9931439,0.005473097],"study_design_scores_gemma":[0.0001338297,0.00003981003,0.002534019,0.0003277472,0.00003727419,0.0001493754,0.00008751589,0.001793542,0.001005468,0.002318438,0.9915235,0.00004948748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002606245,0.0002139276,0.0004029984,0.0001025307,0.00007732029,0.00004313696,0.9914877,0.003427882,0.003983897],"genre_scores_gemma":[0.001472539,0.0001930991,0.001544868,0.0001270618,0.00002589355,0.0001573583,0.9925467,0.0005815246,0.00335085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.271427,"threshold_uncertainty_score":0.9080139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03684138149670288,"score_gpt":0.3507877695590358,"score_spread":0.3139463880623329,"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."}}