{"id":"W4400531953","doi":"10.1145/3626772.3657878","title":"C-Pack: Packed Resources For General Chinese Embeddings","year":2024,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":269,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Packed bed; Computer science; Chemistry; Chromatography","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":[0.002541451,0.004819568,0.001697718,0.004080434,0.001157337,0.002799419,0.005478612,0.001612342,0.07963978],"category_scores_gemma":[0.02182814,0.002098715,0.002135489,0.006053665,0.0009586288,0.008683732,0.00747789,0.00336383,0.08575033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441466,"about_ca_system_score_gemma":0.00406317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034919,"about_ca_topic_score_gemma":0.0180387,"domain_scores_codex":[0.9976087,0.0004372998,0.0003025433,0.0005718104,0.0007512415,0.0003284097],"domain_scores_gemma":[0.9941643,0.001089242,0.0001858715,0.00295329,0.00127923,0.0003281335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004009086,0.0002062394,0.001878065,0.001149854,0.0001057096,0.0002272533,0.0001893715,0.009778254,0.003550026,0.01259854,0.795925,0.1739907],"study_design_scores_gemma":[0.0005327882,0.0003589093,0.003054652,0.0004608603,0.0001136297,0.0006574704,0.000258019,0.1706529,0.03296746,0.06097267,0.7296016,0.0003689622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"dataset","genre_scores_codex":[0.01357489,0.002095682,0.2957858,0.001150839,0.001789922,0.001046211,0.2654861,0.3832396,0.03583102],"genre_scores_gemma":[0.04240028,0.001100844,0.2562245,0.0009530527,0.0002409523,0.00262001,0.6304893,0.04987352,0.01609752],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.07963978,"threshold_uncertainty_score":0.2664217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007724179664062534,"score_gpt":0.297602640136452,"score_spread":0.2898784604723895,"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."}}