{"id":"W53285091","doi":"10.5220/0002292601520159","title":"EXPLORATIVE DATA MINING FOR THE SIZING OF POPULATION GROUPS","year":2009,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Sizing; Computer science; Population; Data science; Data mining; Chemistry; Environmental health; Medicine","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":[0.0002275728,0.00003885522,0.00005313908,0.0000177461,0.0001097371,0.00005848753,0.0009427832,0.00001096403,0.000001159507],"category_scores_gemma":[0.00004807287,0.00002535487,0.00001238887,0.0001631444,0.000009042417,0.0006175819,0.0001424299,0.00001931903,0.000001334022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003982024,"about_ca_system_score_gemma":0.000008027574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002573454,"about_ca_topic_score_gemma":0.000008023322,"domain_scores_codex":[0.9995541,0.000007145665,0.000117019,0.0001762488,0.00007621873,0.0000692694],"domain_scores_gemma":[0.9989484,0.0001935409,0.00006083444,0.0007514652,0.00003204234,0.00001370281],"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":[8.740345e-7,0.0000216971,0.00004008543,0.000001417035,0.00000497866,5.320014e-8,0.0005262122,0.00004196843,0.0001623114,0.1907808,0.002094301,0.8063253],"study_design_scores_gemma":[0.00009367766,0.00004459827,0.005458948,0.000008004399,0.000005690075,8.725383e-7,0.0003860884,0.9859116,0.0002864859,0.005616756,0.00212983,0.00005741286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001643917,0.00004479034,0.9954139,0.002374472,0.00004216723,0.0001288141,0.00002127205,0.00003919195,0.0002914814],"genre_scores_gemma":[0.4697658,0.000003561765,0.5299191,0.0001471412,0.00003653189,0.000009799935,0.00007846266,0.000001422977,0.00003821333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9858696,"threshold_uncertainty_score":0.1751941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138423251789578,"score_gpt":0.3366299890415069,"score_spread":0.222787663862549,"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."}}