{"id":"W2086823905","doi":"10.1145/1622123.1622152","title":"Dynamic ADTs","year":2007,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Programmer; Profiling (computer programming); Lisp; Programming language; Data type; Data structure; Abstract data type; Algorithm; Parallel computing; Theoretical 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":[0.005084254,0.001287165,0.001410445,0.002518021,0.001994153,0.007723462,0.005062282,0.001636479,0.011815],"category_scores_gemma":[0.01187036,0.001308477,0.003188486,0.003082221,0.002964817,0.0123059,0.008741338,0.00423123,0.004697293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002274853,"about_ca_system_score_gemma":0.002960462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001712455,"about_ca_topic_score_gemma":0.002014625,"domain_scores_codex":[0.993339,0.001073622,0.001160597,0.001191217,0.00263559,0.0006000074],"domain_scores_gemma":[0.9873718,0.002016764,0.0007045328,0.006786235,0.002650583,0.0004700874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005212503,0.0001260189,0.003646722,0.0005020039,0.00009528727,0.0004228918,0.0007703254,0.01127324,0.008150834,0.7426561,0.02108872,0.2107468],"study_design_scores_gemma":[0.00007728055,0.0001306384,0.000398468,0.0002181848,0.0001277564,0.0008390601,0.0002173316,0.05958341,0.02175525,0.4439046,0.4726103,0.0001376645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003413431,0.0002813608,0.98132,0.000343844,0.000373362,0.0001348063,0.0007499791,0.005629297,0.00775393],"genre_scores_gemma":[0.08436189,0.0006570357,0.8893692,0.0008353045,0.0003532051,0.0008029353,0.002500348,0.003774458,0.01734571],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.011815,"threshold_uncertainty_score":0.03952515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009298217044485229,"score_gpt":0.2697911997635438,"score_spread":0.2604929827190585,"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."}}