{"id":"W4387160051","doi":"10.3791/65981-v","title":"JoVE Video Dataset","year":2023,"lang":"pt","type":"article","venue":"","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; University Health Network","funders":"","keywords":"Lung transplantation; Context (archaeology); Lung; Medicine; Transplantation; Intensive care medicine; Donation; Process (computing); Surgery; Computer science; Biology; Internal medicine; Political 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":["insufficient_payload"],"category_scores_codex":[0.0004707624,0.001749571,0.001133992,0.003144996,0.0008925731,0.002244167,0.001872793,0.001884072,0.4056463],"category_scores_gemma":[0.00412628,0.000301643,0.0009079432,0.00258621,0.000263861,0.001901239,0.002131402,0.001050722,0.2650121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000764673,"about_ca_system_score_gemma":0.001344364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01383229,"about_ca_topic_score_gemma":0.04088225,"domain_scores_codex":[0.9995618,0.00005781952,0.00004366086,0.0001424146,0.0001286418,0.00006565246],"domain_scores_gemma":[0.9987546,0.000405746,0.00007900843,0.0001701069,0.0004306182,0.0001597961],"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":[0.0001270633,0.00003198507,0.0004291571,0.0008252611,0.00001347096,0.00006778243,0.00003363335,0.0001513243,0.0003446306,0.0003944686,0.9732526,0.02432864],"study_design_scores_gemma":[0.00005897779,0.00003705446,0.002315176,0.0004976864,0.00002761706,0.0002081694,0.0001753421,0.0009595609,0.0006924507,0.001865336,0.9931206,0.00004211381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007918105,0.0008125334,0.001447417,0.0004415134,0.0004029082,0.0001919236,0.9692861,0.005154611,0.02147111],"genre_scores_gemma":[0.005040622,0.001130962,0.007595601,0.0005623691,0.0001467961,0.0006861464,0.9569448,0.001459514,0.02643322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5943537,"threshold_uncertainty_score":0.8477734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08352023584178853,"score_gpt":0.4088196981052726,"score_spread":0.3252994622634841,"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."}}