{"id":"W4394978366","doi":"10.3791/66005-v","title":"JoVE Video Dataset","year":2024,"lang":"pt","type":"article","venue":"","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eurostars; Faculty of Veterinary Medicine, Kasetsart University; Kasetsart University; Dutch Arthritis Society; Universiteit Utrecht; Arthritis Society; Deutsches Historisches Institut Paris","keywords":"Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004203287,0.001288632,0.0009979317,0.002949115,0.0008200516,0.002130644,0.001576328,0.001601543,0.4263321],"category_scores_gemma":[0.003833032,0.0002699052,0.0006956477,0.002410654,0.000243113,0.001867495,0.001852692,0.0008481927,0.2720747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007413797,"about_ca_system_score_gemma":0.001298088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01527547,"about_ca_topic_score_gemma":0.03810615,"domain_scores_codex":[0.9995975,0.00004547402,0.00003977307,0.0001238635,0.0001334385,0.00005991178],"domain_scores_gemma":[0.998774,0.0003656688,0.0001052588,0.0001618065,0.0004281715,0.000165155],"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":[0.00009459899,0.0000242891,0.0005497161,0.0006650182,0.00001160854,0.00006365253,0.00002903899,0.0001121552,0.0002471994,0.000350754,0.9791684,0.01868352],"study_design_scores_gemma":[0.00004600203,0.00002700887,0.002539833,0.0003832781,0.0000214767,0.0001740983,0.0001384398,0.0005464281,0.0004467342,0.001371072,0.9942763,0.0000293433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007355187,0.0007043771,0.0008321985,0.0004730746,0.0003324625,0.0001296642,0.9686143,0.004167976,0.02401039],"genre_scores_gemma":[0.004766062,0.0009812554,0.004537505,0.0005809595,0.0001462248,0.0003740032,0.9618861,0.001147166,0.02558068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5736679,"threshold_uncertainty_score":0.8182676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08375708672872605,"score_gpt":0.3652502847002153,"score_spread":0.2814931979714893,"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."}}