{"id":"W4391527624","doi":"10.3791/2601-v","title":"JoVE Video Dataset","year":2024,"lang":"pt","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002997941,0.000203195,0.0001809293,0.0002171502,0.00009852456,0.0006356863,0.001085375,0.000154691,0.000624163],"category_scores_gemma":[0.00004523219,0.0001703505,0.00007410776,0.0007162779,0.0001278133,0.0003699436,0.0005809276,0.0004072153,0.008901373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004465872,"about_ca_system_score_gemma":0.0001180865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000811543,"about_ca_topic_score_gemma":0.00003220695,"domain_scores_codex":[0.9983206,0.00004762713,0.0002314141,0.0007682461,0.0002143082,0.0004177987],"domain_scores_gemma":[0.9987907,0.0001552237,0.00002690654,0.0009034079,0.00003119381,0.00009250022],"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":[0.00000111454,0.00003934709,0.00007786483,0.00005211865,0.00004355313,0.0003119361,0.0001115899,0.000003033165,0.0002080911,0.2240093,0.67071,0.104432],"study_design_scores_gemma":[0.000115579,0.0001438063,0.001174558,0.0001676373,0.0000333475,0.0001186248,0.00005038863,0.09051746,0.001695534,0.004539144,0.9010991,0.0003448436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001430841,0.00521825,0.9298377,0.03834489,0.00548863,0.0001935215,0.001352448,0.002666698,0.01546704],"genre_scores_gemma":[0.9709739,0.00006828894,0.005422134,0.001161325,0.0001941018,0.000008352065,0.0001743766,0.0000216348,0.02197587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9695431,"threshold_uncertainty_score":0.9918703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053062230994534,"score_gpt":0.3016346848972956,"score_spread":0.2711040625873502,"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."}}