{"id":"W2070787093","doi":"10.1145/1060710.1060716","title":"Scale-free geometry in OO programs","year":2005,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Scale (ratio); Computer graphics (images); Geometry; Programming language; Engineering drawing; Mathematics; Engineering; Cartography; Geography","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":[0.000723019,0.0003029367,0.0003946142,0.000874771,0.00117984,0.002745453,0.0006883443,0.0009832573,0.003055897],"category_scores_gemma":[0.004420485,0.0005940355,0.0006113173,0.0008917595,0.005819786,0.005659862,0.002563112,0.001431571,0.0004672596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009744602,"about_ca_system_score_gemma":0.0004913185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001544714,"about_ca_topic_score_gemma":0.001031132,"domain_scores_codex":[0.9989864,0.0002154163,0.000066525,0.0002236483,0.0004017561,0.0001060905],"domain_scores_gemma":[0.9978524,0.00104457,0.0002229013,0.000506371,0.0002018202,0.0001719008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001580567,0.000007991568,0.0002702325,0.00003439952,0.000003621246,0.00009230502,0.0004101309,0.004264233,0.001277966,0.98461,0.0005364945,0.008476853],"study_design_scores_gemma":[0.00001688528,0.00002064612,0.0003547058,0.0000138696,0.000007139497,0.0001203221,0.000103208,0.01163066,0.001470195,0.9733782,0.0128708,0.00001329719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1601278,0.001233724,0.7793911,0.002053752,0.0001409035,0.00006539955,0.0001261362,0.001104244,0.05575692],"genre_scores_gemma":[0.8911488,0.0008315696,0.09494268,0.0003069697,0.0001940122,0.0001113954,0.000140045,0.0004007823,0.01192368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003055897,"threshold_uncertainty_score":0.01022303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04378453855222991,"score_gpt":0.2895007338208802,"score_spread":0.2457161952686502,"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."}}