{"id":"W4403306429","doi":"10.1017/9781009302180.006","title":"Abstract Data Types","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer 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":[0.002823138,0.001854956,0.001774901,0.002826072,0.001676699,0.01073436,0.003936568,0.002589638,0.1496409],"category_scores_gemma":[0.01497957,0.001340998,0.002507776,0.005219006,0.002154807,0.01706922,0.00525297,0.005586735,0.1357701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002294805,"about_ca_system_score_gemma":0.002362198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001816041,"about_ca_topic_score_gemma":0.001610358,"domain_scores_codex":[0.9954327,0.000710857,0.0007117636,0.0008507162,0.002035003,0.0002590045],"domain_scores_gemma":[0.9949542,0.00144321,0.0002410975,0.001636526,0.001499488,0.0002255034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009429894,0.00002806372,0.0002583984,0.0008867534,0.00002755545,0.0001416675,0.0003315752,0.001289692,0.0008730113,0.3511129,0.4669909,0.1779651],"study_design_scores_gemma":[0.00001077584,0.000008545804,0.00006602568,0.0002273694,0.00000685578,0.0001428347,0.00005372593,0.0007548183,0.0005748406,0.09163791,0.9064977,0.00001858674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001115984,0.006709464,0.7290477,0.007270091,0.006092952,0.000886307,0.03298838,0.02186568,0.1940234],"genre_scores_gemma":[0.01792937,0.01030696,0.5824358,0.007580295,0.002182058,0.002134495,0.04948029,0.01828849,0.3096623],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1496409,"threshold_uncertainty_score":0.5005988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454677166154809,"score_gpt":0.2372269204170816,"score_spread":0.1926801487555335,"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."}}