{"id":"W4390874807","doi":"10.1109/acii59096.2023.10388198","title":"Contextual Emotion Estimation from Image Captions","year":2023,"lang":"en","type":"article","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Estimation; Image (mathematics); Artificial intelligence; Natural language processing; Computer vision; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001114611,0.002108153,0.0006691151,0.001138745,0.0003750408,0.001353761,0.001073851,0.00121757,0.003927511],"category_scores_gemma":[0.006019949,0.000366645,0.001362347,0.000604032,0.0006142796,0.002228412,0.000972561,0.001738106,0.00270918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008651084,"about_ca_system_score_gemma":0.0003654843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001950996,"about_ca_topic_score_gemma":0.002851957,"domain_scores_codex":[0.9991542,0.0002713916,0.00004004886,0.0003260696,0.000123593,0.00008471773],"domain_scores_gemma":[0.9979882,0.0007773943,0.0002213846,0.0004261314,0.0005189988,0.00006793819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002057038,0.0003850645,0.009658197,0.001696556,0.0004477455,0.001042387,0.001090696,0.08973368,0.1595376,0.009697597,0.09033896,0.6343144],"study_design_scores_gemma":[0.00005958359,0.0003700058,0.009102385,0.0002090956,0.0001745783,0.0006497317,0.0005653732,0.8740125,0.06643232,0.01343798,0.03489697,0.0000894292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1644908,0.004408272,0.7720059,0.001893213,0.001121503,0.0009079865,0.01333719,0.02605795,0.01577727],"genre_scores_gemma":[0.6021146,0.001529297,0.3600555,0.001089306,0.0006546755,0.0006187109,0.02540782,0.001412969,0.007117114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003927511,"threshold_uncertainty_score":0.01313877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781283075034063,"score_gpt":0.2950309506352097,"score_spread":0.2772181198848691,"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."}}