{"id":"W3005059827","doi":"10.1525/collabra.180","title":"Database of Emotional Videos from Ottawa (DEVO)","year":2020,"lang":"en","type":"article","venue":"Collabra Psychology","topic":"Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CLIPS; Arousal; Valence (chemistry); Psychology; International Affective Picture System; Database; Developmental psychology; Social psychology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000420869,0.0009134327,0.0004693193,0.003537414,0.001340889,0.001433959,0.001346444,0.0006923005,0.03294644],"category_scores_gemma":[0.002966843,0.0003130345,0.0003143837,0.003928229,0.0004322889,0.0007340005,0.001389654,0.0005133068,0.01258341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00267559,"about_ca_system_score_gemma":0.003380378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3880705,"about_ca_topic_score_gemma":0.7014717,"domain_scores_codex":[0.9995389,0.00005198858,0.00006113607,0.00009475651,0.0001645489,0.000088721],"domain_scores_gemma":[0.997544,0.000295069,0.0001828476,0.0003546961,0.001218775,0.0004045142],"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":[0.002018743,0.0002903543,0.02173605,0.004246424,0.0001424334,0.001390333,0.00259771,0.0008328618,0.009640707,0.00169149,0.8257278,0.129685],"study_design_scores_gemma":[0.0001508327,0.0001202091,0.1240244,0.0007587628,0.0001352259,0.0006984735,0.002545724,0.0009975798,0.003307304,0.0005815531,0.8664931,0.0001869439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04316057,0.001887128,0.001103309,0.0003064687,0.0002097259,0.0006447172,0.9158403,0.001075812,0.03577202],"genre_scores_gemma":[0.06203362,0.001754747,0.005652018,0.0002438538,0.00006825962,0.001063781,0.9021958,0.0003635689,0.02662452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3880705,"threshold_uncertainty_score":0.7716234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06908877923635351,"score_gpt":0.371110607831707,"score_spread":0.3020218285953534,"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."}}