{"id":"W4392428088","doi":"10.48550/arxiv.2403.00642","title":"Rethinking The Uniformity Metric in Self-Supervised Learning","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Metric (unit); Mathematics; Computer science; Artificial intelligence; Economics; Operations management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0121023,0.00115872,0.001649336,0.002189054,0.001322547,0.002075125,0.003207657,0.001949615,0.001070922],"category_scores_gemma":[0.04842411,0.0005695148,0.0007715895,0.002086373,0.003971219,0.006852667,0.004982466,0.00353836,0.0005253349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908118,"about_ca_system_score_gemma":0.001700671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001938605,"about_ca_topic_score_gemma":0.002556018,"domain_scores_codex":[0.9916317,0.003899382,0.0006145058,0.001737313,0.001876017,0.0002411946],"domain_scores_gemma":[0.9731608,0.01322483,0.002074004,0.007582937,0.003102517,0.0008548428],"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":[0.0005407298,0.000313083,0.02097152,0.0004244966,0.0004104259,0.0002534367,0.0006953798,0.3529263,0.01252272,0.1424535,0.01202579,0.4564627],"study_design_scores_gemma":[0.00004018692,0.0002166422,0.001594712,0.00004169074,0.00002520312,0.0001333746,0.00005469404,0.8946147,0.006394647,0.09463313,0.00221278,0.00003832462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04857022,0.0007154937,0.9464694,0.0006345882,0.00009247912,0.0001182845,0.0002340038,0.001131797,0.002033741],"genre_scores_gemma":[0.7160023,0.000442849,0.2786872,0.0007502383,0.0002869449,0.0003693463,0.001067504,0.000609926,0.001783706],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0121023,"threshold_uncertainty_score":0.06400383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261439095177268,"score_gpt":0.2746547431205004,"score_spread":0.1485108336027736,"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."}}