{"id":"W7000108966","doi":"","title":"Dynamical Modeling and Data Clustering with Applications to Tick Population Dynamics and Finance","year":2021,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Cluster analysis; Population; Set (abstract data type); Tick; Focus (optics); Dynamics (music); Data set; Silhouette","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003235334,0.001025436,0.001102251,0.003462522,0.000688242,0.001900888,0.001072109,0.001269866,0.004472196],"category_scores_gemma":[0.01257533,0.0005537809,0.001316772,0.004641843,0.0007848708,0.001569556,0.001672847,0.001387425,0.001534869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302915,"about_ca_system_score_gemma":0.001421594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008180111,"about_ca_topic_score_gemma":0.006718091,"domain_scores_codex":[0.9987257,0.0005996721,0.0001140989,0.0002217031,0.0002926741,0.00004618146],"domain_scores_gemma":[0.9938076,0.004525669,0.0004881629,0.000511728,0.0005195348,0.0001472316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006795241,0.0001242876,0.006009329,0.0004742398,0.0002848652,0.0002349516,0.0002464654,0.5190484,0.001205129,0.144325,0.0182739,0.3097055],"study_design_scores_gemma":[0.000009937712,0.00001594762,0.0009702564,0.00004163573,0.00001352097,0.00006459643,0.00003423899,0.9237531,0.0004253419,0.0670337,0.007616156,0.00002144028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004487961,0.002338362,0.9865204,0.001489022,0.0001230422,0.00007256185,0.0006620765,0.00128177,0.00302477],"genre_scores_gemma":[0.2252556,0.009858675,0.7495102,0.0004396212,0.0007024259,0.0006182489,0.003206451,0.0006793271,0.009729398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008180111,"threshold_uncertainty_score":0.01711035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650945203799532,"score_gpt":0.1904177189751347,"score_spread":0.1739082669371394,"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."}}