{"id":"W4413146686","doi":"10.1109/cvpr52734.2025.02773","title":"Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training","year":2025,"lang":"en","type":"article","venue":"","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Holism; Computer science; Training (meteorology); Image (mathematics); Natural language processing; Artificial intelligence; Linguistics; Psychology; Philosophy; Epistemology; Geography","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":[0.001060724,0.001818802,0.000965031,0.000685189,0.0004709826,0.001231414,0.002304774,0.001553695,0.007194452],"category_scores_gemma":[0.004308502,0.0005930012,0.000932122,0.0007699633,0.0009477843,0.002911389,0.002115071,0.003414484,0.004999665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008050339,"about_ca_system_score_gemma":0.001068184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004060627,"about_ca_topic_score_gemma":0.008241073,"domain_scores_codex":[0.9992703,0.0001797285,0.00002792497,0.0002858337,0.0001347145,0.0001015455],"domain_scores_gemma":[0.9989152,0.0005361047,0.00004916707,0.000267504,0.0001548994,0.00007712792],"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":[0.0006867434,0.0004958063,0.001221649,0.000556898,0.0001616156,0.0003503754,0.000251868,0.0863655,0.04099008,0.009759493,0.04700237,0.8121576],"study_design_scores_gemma":[0.00007716007,0.000319611,0.0004580545,0.00005541511,0.00004154471,0.0001943728,0.0001123042,0.9428785,0.02818014,0.01683653,0.01081161,0.00003471008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04498905,0.002197447,0.9165583,0.0008167799,0.0004770159,0.000213973,0.001103773,0.02509652,0.008547234],"genre_scores_gemma":[0.4030138,0.0008920908,0.5632661,0.002621712,0.0002887531,0.0005069099,0.007517028,0.003354232,0.01853934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007194452,"threshold_uncertainty_score":0.02406788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158058106018902,"score_gpt":0.2840977400112078,"score_spread":0.2725171589510188,"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."}}