{"id":"W2000754699","doi":"10.1080/00273170701360332","title":"Fuzzy Clusterwise Growth Curve Models via Generalized Estimating Equations: An Application to the Antisocial Behavior of Children","year":2007,"lang":"en","type":"article","venue":"Multivariate Behavioral Research","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sample (material); Monte Carlo method; Population; Covariance; Growth curve (statistics); Mathematics; Fuzzy logic; Econometrics; Computer science; Generalized estimating equation; Cluster analysis; Aggregate (composite); Statistics; Applied mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01651958,0.001093524,0.001577014,0.002017427,0.0007622855,0.001250211,0.002225889,0.001671134,0.001604344],"category_scores_gemma":[0.03849103,0.0006664174,0.001829573,0.002653899,0.00117602,0.0014846,0.001937847,0.002671042,0.0002985325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015981,"about_ca_system_score_gemma":0.001928901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138496,"about_ca_topic_score_gemma":0.01696693,"domain_scores_codex":[0.9934567,0.005388161,0.0001660867,0.0004640829,0.0003989489,0.0001260777],"domain_scores_gemma":[0.9691153,0.02573298,0.001760536,0.001465207,0.001715978,0.0002099949],"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":[0.0002011585,0.0001012138,0.01028355,0.0001861648,0.0005727802,0.0002350784,0.001018191,0.7430465,0.0007109464,0.1282502,0.001617538,0.1137768],"study_design_scores_gemma":[0.00001457122,0.00003238352,0.0009684234,0.00001351193,0.00002727814,0.00002451241,0.00004998791,0.9715164,0.0001268185,0.02668715,0.0005138813,0.00002510738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0293696,0.0003006616,0.9693484,0.0002738051,0.00001989614,0.00009337853,0.0001267449,0.000165625,0.0003018726],"genre_scores_gemma":[0.3072607,0.0007333796,0.6892235,0.00007735766,0.00006065796,0.0004953528,0.000491087,0.00010335,0.001554691],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02138496,"threshold_uncertainty_score":0.08736497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3905431289083715,"score_gpt":0.5654358791865369,"score_spread":0.1748927502781655,"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."}}