{"id":"W4312281441","doi":"10.1109/cvpr52688.2022.00734","title":"Generalized Category Discovery","year":2022,"lang":"en","type":"article","venue":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomechanica (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004346605,0.0003669913,0.000407781,0.000284036,0.0006787601,0.0008852215,0.0008421577,0.00008355777,0.000986007],"category_scores_gemma":[0.000004835028,0.0003257861,0.0001505676,0.0003611342,0.00006812413,0.0007046253,0.0007403636,0.0005191835,0.0002096157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006193095,"about_ca_system_score_gemma":0.00008061627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008325792,"about_ca_topic_score_gemma":0.00001385366,"domain_scores_codex":[0.9969402,0.0004958801,0.0004544337,0.0009981019,0.0006603695,0.0004510435],"domain_scores_gemma":[0.9987401,0.0001283119,0.0002162466,0.0006089652,0.0001019569,0.0002044624],"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":[0.00006351916,0.0003519962,0.0002314754,0.00003163829,0.00003744967,0.0001587695,0.000620391,0.000183533,0.0005653711,0.003516225,0.02016066,0.974079],"study_design_scores_gemma":[0.005225782,0.004737924,0.007202676,0.0001946811,0.00005109117,0.0005084428,0.000270707,0.9079094,0.0009566465,0.03835497,0.03216359,0.002424076],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2630135,0.000142523,0.7220315,0.004446968,0.004624021,0.00063036,0.0001904292,0.0004083926,0.004512291],"genre_scores_gemma":[0.9835203,0.0002687847,0.004566547,0.01050202,0.0003297473,0.0001324223,0.0002141328,0.00002827236,0.0004377979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9716549,"threshold_uncertainty_score":0.9999272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0500751412206696,"score_gpt":0.265972821927312,"score_spread":0.2158976807066424,"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."}}