{"id":"W4402727091","doi":"10.1109/cvpr52733.2024.02244","title":"LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Shot (pellet); Computer science; Physics; Materials 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001926163,0.00222761,0.001761742,0.0004737549,0.0006263138,0.001735355,0.00354882,0.002388562,0.008289826],"category_scores_gemma":[0.007328198,0.0008921751,0.0009062531,0.0006155074,0.001211069,0.002909701,0.003700722,0.004660263,0.004927661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007916568,"about_ca_system_score_gemma":0.00117229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003323728,"about_ca_topic_score_gemma":0.00456668,"domain_scores_codex":[0.998866,0.0003066708,0.0000329266,0.0004012512,0.0002725891,0.0001205927],"domain_scores_gemma":[0.998505,0.0007235556,0.00007671018,0.0003547801,0.0002095271,0.0001305825],"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":[0.001240506,0.0005094899,0.00111635,0.0006960647,0.0003029668,0.0003673548,0.0003241382,0.2225015,0.0495057,0.01889925,0.04550156,0.6590351],"study_design_scores_gemma":[0.00004724731,0.000194804,0.0002880354,0.00002432,0.00002750754,0.0001308048,0.00004073454,0.975778,0.009456327,0.008257936,0.005721896,0.00003241394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009607958,0.0007330835,0.9782199,0.0003321598,0.000193834,0.0001240716,0.0002061164,0.007691804,0.002891074],"genre_scores_gemma":[0.2720192,0.0007085598,0.6988175,0.002176955,0.0004415893,0.0006770694,0.002225585,0.003950725,0.01898273],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008289826,"threshold_uncertainty_score":0.02773219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03395519841785247,"score_gpt":0.3208921127788029,"score_spread":0.2869369143609505,"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."}}