{"id":"W2141296717","doi":"10.1145/1989734.1989741","title":"MoveMine","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Intelligent Systems and Technology","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Army Research Laboratory; Air Force Office of Scientific Research; Division of Computing and Communication Foundations; National Science Foundation","keywords":"Computer science; Data mining; Object (grammar); Swarm behaviour; Focus (optics); Trajectory; Cluster analysis; Data stream mining; Movement (music); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001428582,0.001663989,0.00147221,0.002237334,0.001188996,0.003735716,0.005394406,0.002465969,0.1507937],"category_scores_gemma":[0.004899097,0.001251752,0.001722182,0.002157062,0.0006767252,0.005133281,0.004414848,0.00204875,0.1601153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009718915,"about_ca_system_score_gemma":0.001856236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003645231,"about_ca_topic_score_gemma":0.006707834,"domain_scores_codex":[0.9984348,0.0001516033,0.0001157001,0.0005453502,0.0005744055,0.0001780914],"domain_scores_gemma":[0.9985227,0.0002767414,0.0001168549,0.0004685054,0.0004716113,0.0001435761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008325087,0.0001563714,0.00307772,0.001295927,0.0001709108,0.0003724341,0.0003642472,0.002325511,0.006339005,0.01558575,0.8117526,0.157727],"study_design_scores_gemma":[0.0001641729,0.0001218012,0.001592509,0.0001301996,0.00006167119,0.0004429288,0.0001026549,0.01003466,0.004854418,0.009231811,0.9731712,0.00009202574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.008668625,0.002665977,0.1459002,0.002634298,0.001557702,0.0008609844,0.1136573,0.5144928,0.2095621],"genre_scores_gemma":[0.06268043,0.002884075,0.2042394,0.005091137,0.0004142302,0.002507312,0.3913552,0.08381043,0.2470178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1507937,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03626296199891101,"score_gpt":0.2355153862271245,"score_spread":0.1992524242282135,"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."}}