{"id":"W4377088551","doi":"10.3791/65180-v","title":"JoVE Video Dataset","year":2023,"lang":"pt","type":"article","venue":"","topic":"Anesthesia and Neurotoxicity Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Digitization; Computer science; Segmentation; Workflow; Biomedicine; Artificial intelligence; Neuroimaging; Computed tomography; Magnetic resonance imaging; Brain morphometry; Computer vision; Protocol (science); Brain development; Pattern recognition (psychology); Biology; Radiology; Pathology; Neuroscience; Bioinformatics; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003614081,0.001655693,0.001059333,0.002928047,0.0007950717,0.001475481,0.001741313,0.001462308,0.1861763],"category_scores_gemma":[0.002194598,0.000266657,0.0007211593,0.002738203,0.000232014,0.001218657,0.001381724,0.0009862609,0.1490167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006538642,"about_ca_system_score_gemma":0.001061002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01504266,"about_ca_topic_score_gemma":0.04596121,"domain_scores_codex":[0.9996296,0.00003919028,0.00003032132,0.000123798,0.0001180567,0.00005898303],"domain_scores_gemma":[0.9993889,0.0001462183,0.00003899007,0.0001070855,0.0002396538,0.00007910687],"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":[0.0001347997,0.00005047769,0.000549827,0.0006879306,0.00002241928,0.0000710153,0.00002960421,0.0003038695,0.0008162782,0.0005100269,0.9776096,0.0192142],"study_design_scores_gemma":[0.00008397373,0.00004943689,0.003522506,0.0003340976,0.00003620798,0.0002065806,0.0001430927,0.002073467,0.001476771,0.001948566,0.9900756,0.0000497416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009328708,0.0004334338,0.0009003776,0.0001365031,0.0001539036,0.000103107,0.9851248,0.003537732,0.008677179],"genre_scores_gemma":[0.002286735,0.000340258,0.002908934,0.000117359,0.00003075882,0.0002408748,0.9880592,0.0004795846,0.005536265],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8138236,"threshold_uncertainty_score":0.6228219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1358917446348498,"score_gpt":0.3781816427746373,"score_spread":0.2422898981397875,"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."}}