{"id":"W4386249615","doi":"10.1109/crv60082.2023.00034","title":"Naive Scene Graphs: How Visual is Modern Visual Relationship Detection?","year":2023,"lang":"en","type":"article","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Scene graph; Categorical variable; Naive Bayes classifier; Pixel; Bounding overwatch; Pattern recognition (psychology); Classifier (UML); Object detection; Graph; Computer vision; Machine learning; Theoretical computer science; Support vector machine","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":[0.003373931,0.001015693,0.0008457114,0.002278103,0.0006974669,0.002432084,0.002592377,0.00148739,0.003732453],"category_scores_gemma":[0.01181506,0.0005754434,0.0008594246,0.001134289,0.001131649,0.005187172,0.001381474,0.001703906,0.002775887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000899347,"about_ca_system_score_gemma":0.0006933233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003675808,"about_ca_topic_score_gemma":0.006606424,"domain_scores_codex":[0.9976385,0.0008920604,0.00006461712,0.0005885937,0.0006889766,0.0001273556],"domain_scores_gemma":[0.9954716,0.002035668,0.0003270369,0.00109406,0.0008691293,0.0002024825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002937115,0.0002032995,0.01009735,0.0003578404,0.0001344215,0.0001917798,0.0003819591,0.02968679,0.01299705,0.04077843,0.02670215,0.8781752],"study_design_scores_gemma":[0.00006466811,0.0002860017,0.006180563,0.0001762172,0.00007374576,0.0008862891,0.00056404,0.7420321,0.01902636,0.2026769,0.02794253,0.00009055515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03608818,0.001249676,0.9452301,0.002011843,0.0002206975,0.0001931589,0.000579697,0.008532961,0.005893718],"genre_scores_gemma":[0.3611834,0.0007007952,0.6302035,0.001041668,0.000174091,0.0001269177,0.002207578,0.0007942611,0.003567723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003732453,"threshold_uncertainty_score":0.01784331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509051419035251,"score_gpt":0.3185390179645395,"score_spread":0.293448503774187,"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."}}