{"id":"W3047087020","doi":"10.1139/geomat-2020-0004","title":"Geovisualization and harmonic analysis for the exploratory search of localized cyclic recurrences in spatio-temporal event data","year":2020,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geovisualization; Exploratory data analysis; Computer science; Visualization; Data mining; Representation (politics); Event (particle physics); Information retrieval; Exploratory analysis; Data science; Geography; Information visualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003123806,0.0000698428,0.0001634769,0.0000454644,0.00004018316,0.00001634407,0.0002312203,0.0000421223,0.00002311234],"category_scores_gemma":[0.000181473,0.00005018955,0.00005702872,0.0003829308,0.00007885523,0.000009970161,0.0001417366,0.00003190809,0.00000145011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003386097,"about_ca_system_score_gemma":0.00004744324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001381677,"about_ca_topic_score_gemma":0.0003854651,"domain_scores_codex":[0.999236,0.00006794561,0.0002388512,0.000236454,0.0001140385,0.0001066576],"domain_scores_gemma":[0.9994961,0.00004299672,0.00007937497,0.0002925221,0.00004731172,0.00004170336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001460641,0.0006648801,0.736229,0.001317595,0.005515612,0.000009820628,0.005986797,0.02300062,0.1489251,0.0007571289,0.00499863,0.07113415],"study_design_scores_gemma":[0.001280585,0.0005480229,0.02199059,0.00004450602,0.001167518,0.000001015028,0.002994187,0.9076669,0.05436464,0.0004889595,0.009060719,0.0003924058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927943,0.001609782,0.06893915,0.001200312,0.00001136189,0.0002077647,0.00007424768,0.000003855417,0.00001054448],"genre_scores_gemma":[0.9978763,0.0004189186,0.0005085706,0.0001513999,0.00003045776,0.0000206368,0.0009803785,0.000004463125,0.000008865614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8846663,"threshold_uncertainty_score":0.204667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0691318881697353,"score_gpt":0.3296238698250588,"score_spread":0.2604919816553235,"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."}}