{"id":"W2144282912","doi":"10.1109/wpc.2003.1199206","title":"An optimal algorithm for MoJo distance","year":2004,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Heuristic; Cluster analysis; Algorithm; Computer science; Measure (data warehouse); Computation; Software; Data mining; Artificial intelligence","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":[0.0001341543,0.00006309863,0.00005887027,0.00004225665,0.00004889859,0.0001130686,0.0006833565,0.00002506769,0.000007393278],"category_scores_gemma":[0.00005320299,0.00005720184,0.00002635857,0.0001795848,0.00001584837,0.0003731442,0.00005835717,0.0000540529,0.00002516209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005360495,"about_ca_system_score_gemma":0.00005098221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001112258,"about_ca_topic_score_gemma":0.000001443829,"domain_scores_codex":[0.9992642,0.00000429848,0.00006853789,0.0002384706,0.0001739374,0.000250546],"domain_scores_gemma":[0.9993234,0.0001061551,0.00000776516,0.0004063935,0.00005611524,0.0001001435],"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":[0.000005908421,0.0002035916,0.0002337411,0.00002106348,0.00001751407,0.00003291003,0.0005202455,0.04078782,0.000648701,0.1666871,0.0008403023,0.7900011],"study_design_scores_gemma":[0.000833491,0.000329733,0.002005345,0.00001025076,0.000001181195,0.00001494189,0.00001379009,0.9686298,0.01756238,0.004971032,0.005349061,0.0002789684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003836459,0.00003422987,0.9951112,0.0002289366,0.0001397814,0.0001247206,0.000002484635,0.0004494017,0.00007284156],"genre_scores_gemma":[0.1485818,0.000001193517,0.8510773,0.00004673135,0.00005590398,0.00003266569,0.00000148285,0.000007372228,0.0001955244],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.927842,"threshold_uncertainty_score":0.2332623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380591538218699,"score_gpt":0.2846555029632296,"score_spread":0.2708495875810426,"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."}}