{"id":"W4395068334","doi":"10.3791/66383-v","title":"JoVE Video Dataset","year":2024,"lang":"pt","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003371903,0.002120612,0.001078106,0.002777708,0.0008140427,0.002091696,0.001617481,0.001468733,0.3853347],"category_scores_gemma":[0.002696631,0.0004438393,0.0006814253,0.003012773,0.0002435025,0.001025279,0.001577786,0.0009937212,0.24518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284224,"about_ca_system_score_gemma":0.002224939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0686328,"about_ca_topic_score_gemma":0.1857705,"domain_scores_codex":[0.9996614,0.0000332505,0.00002499801,0.0001124267,0.0001003571,0.00006756967],"domain_scores_gemma":[0.9989479,0.0002495563,0.00005619338,0.0001786957,0.0004139659,0.0001537041],"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":[0.00006789414,0.000016098,0.0002645233,0.0004431114,0.00001189605,0.00003687575,0.00001652142,0.0001800144,0.0002158383,0.0001840422,0.9892455,0.009317655],"study_design_scores_gemma":[0.0000728335,0.0000270653,0.003419282,0.0004518013,0.00003178657,0.000180131,0.0001242503,0.001249203,0.0008111371,0.001122014,0.9924656,0.0000449588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002955213,0.0003318629,0.0003981483,0.0001104471,0.00009870075,0.00005297449,0.9901717,0.002301696,0.006238862],"genre_scores_gemma":[0.002134932,0.000432088,0.001678743,0.0001033245,0.00003661081,0.0001492486,0.9869097,0.0005933277,0.007961974],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3853347,"threshold_uncertainty_score":0.8767455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909308471353711,"score_gpt":0.277800870735399,"score_spread":0.2587077860218619,"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."}}