{"id":"W2071086297","doi":"10.1145/2808201","title":"SAfeDJ","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; East China Normal University; Swedish Foundation for International Cooperation in Research and Higher Education","keywords":"Mood; Active listening; Computer science; Context (archaeology); Human–computer interaction; Cloud computing; Multimedia; Applied psychology; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00114,0.001110709,0.000647005,0.001475266,0.001366572,0.003880947,0.002044391,0.0020763,0.3360653],"category_scores_gemma":[0.004379042,0.0004360574,0.0007198663,0.000941678,0.0004669458,0.002414244,0.003629715,0.001311284,0.2755346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007713263,"about_ca_system_score_gemma":0.001682621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002733167,"about_ca_topic_score_gemma":0.003639094,"domain_scores_codex":[0.9987975,0.0001538329,0.00008404214,0.0002814175,0.000517338,0.0001658328],"domain_scores_gemma":[0.9972211,0.0003125049,0.0001285952,0.0006233137,0.001189868,0.0005246029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006656179,0.0001652895,0.002412163,0.0006848747,0.00003550676,0.0005836308,0.0005390536,0.0003999002,0.007724751,0.01283528,0.5653732,0.4085808],"study_design_scores_gemma":[0.00004210699,0.00006525597,0.0009554424,0.00008771424,0.00001151881,0.0003597543,0.0001268868,0.000737485,0.001546256,0.002203606,0.9938428,0.00002121517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0152896,0.00488291,0.07582641,0.007483491,0.007716921,0.0008904889,0.02043208,0.05552834,0.8119497],"genre_scores_gemma":[0.08503982,0.004040352,0.0437444,0.005496904,0.001774868,0.0006643336,0.03646657,0.009840876,0.812932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3360653,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09140812908194182,"score_gpt":0.3671197014728504,"score_spread":0.2757115723909086,"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."}}