{"id":"W4381561077","doi":"10.1145/3580305.3599485","title":"Rapid Image Labeling via Neuro-Symbolic Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Purdue University","keywords":"Computer science; Domain (mathematical analysis); Artificial intelligence; Image (mathematics); Labeled data; Key (lock); Code (set theory); Machine learning; Pattern recognition (psychology); Programming language; Set (abstract data type)","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":[0.001365166,0.001431475,0.0009989524,0.00184461,0.0009054719,0.002288144,0.003409963,0.001569538,0.005405131],"category_scores_gemma":[0.006755073,0.0006904701,0.001169694,0.001748505,0.001629565,0.002998598,0.002591544,0.002730994,0.00297217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002343392,"about_ca_system_score_gemma":0.002716555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009104362,"about_ca_topic_score_gemma":0.02103415,"domain_scores_codex":[0.9984375,0.0003054155,0.00008268972,0.000679565,0.0003596774,0.0001351556],"domain_scores_gemma":[0.9968226,0.001083929,0.0002650713,0.001161503,0.0005587988,0.0001080712],"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":[0.0003533369,0.0002488871,0.003948578,0.0004046352,0.0001042421,0.0002287818,0.0002870621,0.1936242,0.01793208,0.0218784,0.02670671,0.7342831],"study_design_scores_gemma":[0.00002698456,0.0000394055,0.0004156813,0.000037302,0.00001719495,0.00007335256,0.00007618321,0.9456648,0.009777442,0.03907724,0.004774768,0.00001956961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04093002,0.0005630024,0.9292217,0.0009025774,0.0001207507,0.0002449934,0.002034805,0.01683553,0.00914657],"genre_scores_gemma":[0.4041144,0.0004054496,0.578491,0.0007262901,0.00008061909,0.0003727392,0.009643042,0.0008205145,0.005345956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009104362,"threshold_uncertainty_score":0.01810277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175375975768866,"score_gpt":0.2692581314790212,"score_spread":0.2475043717213326,"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."}}