{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001041678,0.0001149101,0.000131651,0.0004180202,0.0001103095,0.00005267391,0.0008721337,0.00009555619,0.00003468819],"category_scores_gemma":[0.000008462785,0.00009915229,0.00002611284,0.0004733841,0.00006597867,0.0002272478,0.00004325113,0.0001382742,0.0001172853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001363374,"about_ca_system_score_gemma":0.000006417642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009115322,"about_ca_topic_score_gemma":0.000006941615,"domain_scores_codex":[0.9992013,0.00001212311,0.0001894694,0.0003150428,0.00009249586,0.0001895439],"domain_scores_gemma":[0.9989673,0.00002186569,0.00004534723,0.0008865892,0.00003542918,0.00004349762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004054457,0.000173114,0.0001444453,0.00002551055,0.00007834333,0.00002563018,0.0002027873,0.000009418904,0.000090878,0.3843445,0.0002899057,0.6146114],"study_design_scores_gemma":[0.001965903,0.003785569,0.0008232212,0.0004955689,0.0001875275,0.0007141052,0.004480657,0.06831716,0.1290991,0.2453701,0.5420275,0.002733578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001279148,0.0002734441,0.9945652,0.0006355307,0.0006271501,0.0001746764,0.000004820776,0.000415658,0.0020243],"genre_scores_gemma":[0.9724383,0.0003942311,0.02445271,0.00007686701,0.00001856957,0.00008845296,0.000001573652,0.00001040609,0.002518905],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9711592,"threshold_uncertainty_score":0.4043313,"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."}}