{"id":"W4317597554","doi":"10.3791/64410-v","title":"JoVE Video Dataset","year":2023,"lang":"pt","type":"article","venue":"","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Health Sciences North","funders":"","keywords":"Preload; Cardiac function curve; Cardiac output; Cardiology; Medicine; Stroke volume; Internal medicine; Hemodynamics; Heart failure; Ejection fraction","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":[0.0003500476,0.001705506,0.001052466,0.002337232,0.0007855997,0.00145195,0.001818142,0.001623773,0.1192633],"category_scores_gemma":[0.002311481,0.0002448472,0.000776781,0.002010682,0.0002259532,0.001254519,0.001365405,0.001021727,0.09810248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007020764,"about_ca_system_score_gemma":0.001051563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01863776,"about_ca_topic_score_gemma":0.06466862,"domain_scores_codex":[0.9996099,0.00005025586,0.00003127178,0.0001179933,0.0001295836,0.0000611111],"domain_scores_gemma":[0.9992919,0.0001675482,0.00003630298,0.0001342988,0.0002920691,0.00007780347],"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":[0.0001594179,0.00007626491,0.0006999894,0.0007346391,0.00002822722,0.0000864357,0.00003151212,0.0003357251,0.0008839316,0.0004470459,0.9715848,0.02493196],"study_design_scores_gemma":[0.0001054366,0.00007926948,0.005589333,0.0004091448,0.00004372882,0.0003312681,0.0002052476,0.004458331,0.001916713,0.002038297,0.9847549,0.00006831496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002127322,0.001118012,0.001766521,0.0003943046,0.000425705,0.0002181949,0.9731407,0.005324573,0.01548466],"genre_scores_gemma":[0.004963121,0.000632708,0.004920883,0.0002731307,0.00008484023,0.0003231778,0.9786588,0.0004922685,0.009650998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8807368,"threshold_uncertainty_score":0.3989754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03972882385776842,"score_gpt":0.3470913801740233,"score_spread":0.3073625563162549,"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."}}