{"id":"W2024911973","doi":"10.4018/jssci.2011040106","title":"The Formal Design Model of Doubly-Linked-Circular Lists (DLC-Lists)","year":2011,"lang":"en","type":"article","venue":"International Journal of Software Science and Computational Intelligence","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Data structure; Programming language; Set (abstract data type)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002672836,0.0001466645,0.000170348,0.0002960125,0.0003705741,0.0002824572,0.00270688,0.00004345108,0.000005031397],"category_scores_gemma":[0.0007148208,0.0001081469,0.0001032223,0.0005251523,0.0008155463,0.00140836,0.0005102248,0.0002494045,0.00000502347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008284691,"about_ca_system_score_gemma":0.0008260008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000129835,"about_ca_topic_score_gemma":0.000001399952,"domain_scores_codex":[0.9971106,0.00006237317,0.0006870228,0.0002763549,0.001574566,0.0002890517],"domain_scores_gemma":[0.9931801,0.0007820141,0.0006040228,0.0001758031,0.005109007,0.0001490447],"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":[0.0001626519,0.0001563895,0.0007296117,0.000008385026,0.00009074093,0.00004088242,0.002817076,0.3961625,0.0001783752,0.09890175,0.000154961,0.5005967],"study_design_scores_gemma":[0.000142533,0.0001624801,0.002935761,0.0001017893,0.000008426301,0.0002888489,0.00008187698,0.8514878,0.001908535,0.1426733,0.00006757348,0.0001410347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01486821,0.0003998373,0.9833664,0.0002434558,0.0008361326,0.00008093697,0.000002587898,0.00002369048,0.0001787387],"genre_scores_gemma":[0.8230333,0.0001318674,0.1764884,0.0002404797,0.00008322176,0.000001861377,4.316381e-7,0.000004678308,0.00001574517],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8081651,"threshold_uncertainty_score":0.5030102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07648060991378004,"score_gpt":0.2980317098951163,"score_spread":0.2215510999813363,"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."}}