{"id":"W4392133545","doi":"10.3791/65531-v","title":"JoVE Video Dataset","year":2024,"lang":"pt","type":"article","venue":"","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence; Computer graphics (images)","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":["insufficient_payload"],"category_scores_codex":[0.0005750621,0.001573368,0.001093574,0.002920259,0.0008549714,0.001829714,0.002012243,0.00143115,0.3116985],"category_scores_gemma":[0.003334444,0.0003336838,0.0008056851,0.002522915,0.0002642759,0.001530391,0.001864123,0.001029414,0.1902095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000686058,"about_ca_system_score_gemma":0.001337724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01229041,"about_ca_topic_score_gemma":0.03406843,"domain_scores_codex":[0.9995558,0.00005496033,0.00003817548,0.0001318073,0.0001567926,0.00006253949],"domain_scores_gemma":[0.9990079,0.0003020928,0.00004950637,0.0001573336,0.0003909848,0.00009224959],"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":[0.0001563988,0.00004441017,0.0003885183,0.0007811342,0.00001578491,0.00005817155,0.00006553189,0.0002149311,0.0005625947,0.000575153,0.973648,0.02348931],"study_design_scores_gemma":[0.00008278633,0.00004932895,0.002866476,0.0003353492,0.00002848802,0.0001376131,0.0002252878,0.001284375,0.0009329134,0.002326188,0.9916793,0.00005190398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001050273,0.0003907896,0.002055561,0.0002403327,0.0002829387,0.000219335,0.9692391,0.007601044,0.01892071],"genre_scores_gemma":[0.00517396,0.0005833586,0.009588692,0.000373715,0.00008150477,0.001106863,0.9585147,0.002320686,0.02225648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6883015,"threshold_uncertainty_score":0.9817786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03681427352257081,"score_gpt":0.3405837046660812,"score_spread":0.3037694311435103,"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."}}