{"id":"W4395090154","doi":"10.3791/66378-v","title":"JoVE Video Dataset","year":2024,"lang":"pt","type":"article","venue":"","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Vetenskapsrådet; Stiftelsen Promobilia","keywords":"Computer science; Artificial intelligence; Computer graphics (images)","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":[0.001164753,0.001479023,0.00172055,0.004109935,0.001160636,0.004004646,0.002776269,0.002671199,0.7598689],"category_scores_gemma":[0.01104966,0.0005371671,0.001055123,0.004151977,0.0004063255,0.003153631,0.002845069,0.001447491,0.5117379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123592,"about_ca_system_score_gemma":0.002918844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024266,"about_ca_topic_score_gemma":0.02203867,"domain_scores_codex":[0.9991224,0.0001315555,0.0001229497,0.0002583388,0.0002495611,0.0001152001],"domain_scores_gemma":[0.9964787,0.001389498,0.0002808504,0.0004901419,0.0009969425,0.0003637983],"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":[0.00007762333,0.0000191931,0.0002366198,0.0009496543,0.00001153884,0.00004186965,0.00003207522,0.00007474315,0.00006812494,0.0005556205,0.9851451,0.01278782],"study_design_scores_gemma":[0.00009435705,0.00001901706,0.0008717676,0.0006226809,0.00002179839,0.0001047049,0.0001159566,0.0002246236,0.0001735586,0.002266493,0.995458,0.00002713011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002398309,0.0004486081,0.0007542611,0.0006535382,0.0003909705,0.0002258153,0.9678706,0.003257088,0.02615931],"genre_scores_gemma":[0.003641263,0.001360166,0.006910816,0.001867791,0.0002926141,0.001630444,0.9303389,0.00310931,0.05084867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7598689,"threshold_uncertainty_score":0.3425178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05017741365695067,"score_gpt":0.332523892218148,"score_spread":0.2823464785611973,"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."}}