{"id":"W4392782911","doi":"10.3791/64926-v","title":"JoVE Video Dataset","year":2024,"lang":"pt","type":"article","venue":"","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","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":[0.000630284,0.00180136,0.001440882,0.003577667,0.0009147919,0.00275782,0.002613101,0.002170699,0.6262988],"category_scores_gemma":[0.003939941,0.0004608108,0.0009053464,0.003385345,0.0002894215,0.002209421,0.002714748,0.001216296,0.3964925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008795174,"about_ca_system_score_gemma":0.001862723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041756,"about_ca_topic_score_gemma":0.02406401,"domain_scores_codex":[0.9995147,0.00005379998,0.00004351195,0.0001440265,0.0001647856,0.00007920553],"domain_scores_gemma":[0.9986234,0.000409389,0.0000913913,0.0001699386,0.0004409285,0.0002649114],"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":[0.00008259409,0.00002104845,0.000230111,0.0007768095,0.00001228784,0.00004787149,0.00002416837,0.0001401341,0.0003411566,0.0004278962,0.9811698,0.01672613],"study_design_scores_gemma":[0.0000684192,0.00002615042,0.00132397,0.0003356365,0.00002129943,0.0001301976,0.00007902038,0.0005919084,0.0006570854,0.002031007,0.9946964,0.00003901387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003518613,0.0004881204,0.001415953,0.0003746363,0.0002878691,0.0001625355,0.9656434,0.008219099,0.02305649],"genre_scores_gemma":[0.003513877,0.001008756,0.008951157,0.0006856683,0.0001331012,0.0007183398,0.9523263,0.003435627,0.02922713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6262988,"threshold_uncertainty_score":0.5330395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706875376281152,"score_gpt":0.2885034166356384,"score_spread":0.2714346628728269,"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."}}