{"id":"W7090712220","doi":"10.5281/zenodo.17298033","title":"Extensible Data Types with Ad-Hoc Polymorphism (Artifact)","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Extensibility; Data type; Type (biology); Genetic data; Mathematical proof","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":[0.00486139,0.00139861,0.000825302,0.001872654,0.0011127,0.004346303,0.003007508,0.001595251,0.05648954],"category_scores_gemma":[0.01091751,0.001836741,0.002785905,0.003728421,0.00203836,0.008227455,0.005050683,0.006656027,0.03767919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129939,"about_ca_system_score_gemma":0.001812332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521316,"about_ca_topic_score_gemma":0.001175203,"domain_scores_codex":[0.9955971,0.000961911,0.0005700325,0.0006173571,0.001967433,0.0002862244],"domain_scores_gemma":[0.9926005,0.001941484,0.0002548432,0.003331702,0.001674817,0.0001965898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008382657,0.0000741023,0.0003979018,0.0006048761,0.00005015271,0.0002537076,0.0002511133,0.001385938,0.003251368,0.6999366,0.1551648,0.1385456],"study_design_scores_gemma":[0.00005758629,0.00003564637,0.0002683942,0.0002708635,0.00004262018,0.0007847043,0.0000357646,0.0038481,0.0070028,0.2275234,0.7600653,0.00006479381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001313883,0.001255317,0.9365436,0.001249507,0.002113068,0.0002303269,0.0037398,0.01127209,0.04228238],"genre_scores_gemma":[0.05592445,0.004633404,0.7819859,0.002206042,0.001601109,0.0009444192,0.01452164,0.02007256,0.1181105],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05648954,"threshold_uncertainty_score":0.1889763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04679095579043176,"score_gpt":0.252641157705995,"score_spread":0.2058502019155633,"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."}}