{"id":"W2035692101","doi":"10.1016/s0378-3758(00)00220-2","title":"Estimation in a growth curve model with singular covariance","year":2001,"lang":"en","type":"article","venue":"Journal of Statistical Planning and Inference","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Mathematics; Estimator; Rank (graph theory); Covariance; Covariance matrix; Combinatorics; Matrix (chemical analysis); Estimation of covariance matrices; Applied mathematics; Class (philosophy); Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009868853,0.001215734,0.002827941,0.001942289,0.000766578,0.002331904,0.002744592,0.003445791,0.002249285],"category_scores_gemma":[0.06100925,0.002097258,0.002080305,0.002663759,0.002951607,0.004808509,0.003044614,0.003508175,0.0005681507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748269,"about_ca_system_score_gemma":0.002838226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0283475,"about_ca_topic_score_gemma":0.01181636,"domain_scores_codex":[0.9974011,0.001322045,0.0001504309,0.000592559,0.0002792466,0.0002546365],"domain_scores_gemma":[0.9551018,0.0381057,0.00258227,0.001921447,0.001666885,0.0006218564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001390462,0.00004718624,0.005260632,0.0001029456,0.0001543839,0.0001639142,0.0002204326,0.8600456,0.0003859954,0.1069674,0.001424608,0.02508786],"study_design_scores_gemma":[0.0000102418,0.00001190318,0.000386529,0.00001057008,0.00001716362,0.000029432,0.00001911925,0.9502382,0.0001003351,0.04893117,0.000230941,0.00001448992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04536495,0.0002757448,0.952469,0.0007671596,0.00002496287,0.00002763053,0.000153029,0.0002750454,0.000642413],"genre_scores_gemma":[0.7829434,0.0009258708,0.2062903,0.0002584904,0.0001205594,0.0001825056,0.001077467,0.0003906899,0.007810635],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0283475,"threshold_uncertainty_score":0.05636495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08812860323589561,"score_gpt":0.3918170436444272,"score_spread":0.3036884404085316,"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."}}