{"id":"W4392785337","doi":"10.3791/65887-v","title":"JoVE Video Dataset","year":2024,"lang":"pt","type":"article","venue":"","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","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":[0.000456693,0.001392221,0.0009618583,0.002812158,0.0008583868,0.002629984,0.001823721,0.00162047,0.7176948],"category_scores_gemma":[0.004041655,0.0003178007,0.000628526,0.002736943,0.0002418027,0.00200936,0.002336955,0.001001376,0.4516669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007794281,"about_ca_system_score_gemma":0.001360065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083383,"about_ca_topic_score_gemma":0.02761369,"domain_scores_codex":[0.9996735,0.0000387856,0.00002475304,0.00009211196,0.0001230126,0.00004786724],"domain_scores_gemma":[0.9986137,0.0004179468,0.00008189685,0.0001325668,0.0004745595,0.0002793433],"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":[0.00006105452,0.00001511829,0.0001745489,0.0003635137,0.000005084134,0.00004923468,0.00001858479,0.00008739127,0.000166477,0.0003353761,0.9761614,0.02256219],"study_design_scores_gemma":[0.00003188366,0.00001769168,0.001112989,0.0002561651,0.0000110607,0.0001516805,0.00007969799,0.0003562864,0.0003018976,0.001326029,0.9963326,0.00002196147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007599005,0.001105073,0.002925688,0.0009695335,0.0008966215,0.0003308981,0.8725854,0.008572984,0.111854],"genre_scores_gemma":[0.007988708,0.002382091,0.01281959,0.001640228,0.000457935,0.0009766141,0.8292126,0.004048903,0.1404733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7176948,"threshold_uncertainty_score":0.4026741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05829413987748627,"score_gpt":0.392553274354005,"score_spread":0.3342591344765187,"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."}}