{"id":"W4388366501","doi":"10.3791/65431-v","title":"JoVE Video Dataset","year":2023,"lang":"pt","type":"article","venue":"","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Toronto General Hospital","funders":"","keywords":"Diaphragm (acoustics); Medicine; Breathing; Economic shortage; Thickening; Cardiology; Intensive care medicine; Respiratory system; Internal medicine; Physical medicine and rehabilitation; Anesthesia; Materials science","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":[0.000473487,0.001488512,0.001137752,0.002600067,0.0007614869,0.001786407,0.001652149,0.001735372,0.3016421],"category_scores_gemma":[0.005328108,0.0002585477,0.0008822549,0.002153681,0.0002337471,0.001447354,0.001672234,0.0009231921,0.1777127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006319616,"about_ca_system_score_gemma":0.001354381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01437377,"about_ca_topic_score_gemma":0.04154096,"domain_scores_codex":[0.9995655,0.00006135241,0.0000503344,0.0001364645,0.0001240629,0.00006232285],"domain_scores_gemma":[0.9984441,0.0005573395,0.0001002955,0.0002188022,0.0005230325,0.0001564507],"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":[0.0001679672,0.00004326936,0.0006727832,0.001143833,0.00002225023,0.00005196088,0.00002979608,0.0001812506,0.0003556156,0.0002714893,0.9804426,0.01661723],"study_design_scores_gemma":[0.0001722095,0.00007245925,0.005339602,0.0007660331,0.00005294967,0.0002085671,0.0001752199,0.001566085,0.0008911863,0.002264748,0.9884269,0.00006412216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005865721,0.0003767396,0.0004732129,0.0002283375,0.0001789125,0.0001082681,0.9903024,0.002210899,0.005534704],"genre_scores_gemma":[0.003331613,0.0004793687,0.002860464,0.0002935295,0.00008769062,0.0004497012,0.9840236,0.0005626736,0.007911451],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3016421,"threshold_uncertainty_score":0.9961227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05787681023681893,"score_gpt":0.3355382954365922,"score_spread":0.2776614851997733,"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."}}