{"id":"W4397029190","doi":"10.3791/66792-v","title":"JoVE Video Dataset","year":2024,"lang":"pt","type":"article","venue":"","topic":"Barrier Structure and Function Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.000490046,0.002070187,0.00130799,0.002741021,0.0009972479,0.002397035,0.002203186,0.001916278,0.5019112],"category_scores_gemma":[0.002984233,0.000373196,0.0009778026,0.002614666,0.0002524995,0.002015393,0.002327268,0.001125279,0.3150799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007747795,"about_ca_system_score_gemma":0.00132562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01311726,"about_ca_topic_score_gemma":0.03757844,"domain_scores_codex":[0.9995888,0.00004832874,0.00003195633,0.0001280222,0.0001363243,0.00006666689],"domain_scores_gemma":[0.9991004,0.0002280103,0.0000502705,0.0001244938,0.0003672431,0.0001295818],"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":[0.00009351079,0.00002760744,0.0002279861,0.0006151504,0.00001364961,0.00004028137,0.00002777476,0.0001526757,0.0003482501,0.0003782821,0.9798372,0.0182375],"study_design_scores_gemma":[0.00007643031,0.00004178011,0.001867646,0.0003498674,0.00002846261,0.0001400973,0.0001349441,0.001051413,0.0006975151,0.002152433,0.9934134,0.00004600666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008373725,0.0009582833,0.002195809,0.0004943863,0.0005985499,0.0002571912,0.9460331,0.01115887,0.03746635],"genre_scores_gemma":[0.004558232,0.001275742,0.009905514,0.0007566392,0.000160329,0.0007922474,0.9393957,0.003148431,0.04000723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5019112,"threshold_uncertainty_score":0.7104632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04509708456977771,"score_gpt":0.3122522817532946,"score_spread":0.2671551971835168,"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."}}