{"id":"W4415008868","doi":"10.1145/3759537.3762696","title":"Fast and Extensible Hybrid Embeddings with Micros","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Embedding; Extensibility; Syntax; Macro; Transformer; Representation (politics); Object-oriented programming","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001370361,0.0009546293,0.0004837298,0.0007942948,0.0004445341,0.001799686,0.001500099,0.000593789,0.004820547],"category_scores_gemma":[0.004982719,0.0009638582,0.0009775157,0.0008121008,0.001325771,0.006261527,0.005338205,0.001863926,0.002395984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005989439,"about_ca_system_score_gemma":0.00076358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006341381,"about_ca_topic_score_gemma":0.001456228,"domain_scores_codex":[0.9984378,0.0003118207,0.0001838006,0.0002836012,0.0005985012,0.0001845302],"domain_scores_gemma":[0.9966101,0.000632937,0.0002604201,0.002068121,0.0003368902,0.00009146496],"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":[0.0006252924,0.0001822384,0.004973232,0.0006268824,0.0001333305,0.0005930154,0.001290279,0.04794731,0.08232998,0.3996593,0.01336639,0.4482728],"study_design_scores_gemma":[0.00008256362,0.000477111,0.001229319,0.0002125216,0.0001517888,0.0009648772,0.0005233507,0.3623287,0.1963456,0.2768105,0.16071,0.0001635877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02374678,0.0002215424,0.9581867,0.0001435539,0.0000878346,0.00006553511,0.0001386873,0.01300355,0.004405846],"genre_scores_gemma":[0.3715854,0.000445826,0.6078873,0.0002594012,0.00007322079,0.0002899409,0.0008688309,0.006015645,0.01257446],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004820547,"threshold_uncertainty_score":0.01612639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450136440958604,"score_gpt":0.2444418413389688,"score_spread":0.2299404769293828,"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."}}