{"id":"W2023320606","doi":"10.1007/bf02295840","title":"A Multivariate Reduced-Rank Growth Curve Model with Unbalanced Data","year":2004,"lang":"en","type":"article","venue":"Psychometrika","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; HEC Montréal","funders":"","keywords":"Growth curve (statistics); Multivariate statistics; Univariate; Mathematics; Rank (graph theory); Statistics; Function (biology); Multivariate analysis; Set (abstract data type); Basis (linear algebra); Curve fitting; Econometrics; Computer science; Combinatorics","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":[0.0006416295,0.0002384006,0.0003892352,0.0002185016,0.00008417821,0.00006208661,0.0007079013,0.00009128112,0.00008686635],"category_scores_gemma":[0.005637993,0.00017524,0.00003715812,0.001157283,0.00009731163,0.0001813192,0.0001226222,0.0002670251,0.00005295385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005181022,"about_ca_system_score_gemma":0.00009485061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008656512,"about_ca_topic_score_gemma":0.00001016641,"domain_scores_codex":[0.9981593,0.00006885718,0.0003573417,0.0006104,0.0004047199,0.0003994076],"domain_scores_gemma":[0.9972211,0.001083129,0.0001500843,0.001198213,0.0001661212,0.0001814035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003813659,0.001030892,0.0008404705,0.0002125186,0.0001998813,0.00002208086,0.0006366857,0.0001349432,0.002662965,0.9671156,0.003380299,0.02338227],"study_design_scores_gemma":[0.003094969,0.0002327094,0.00365435,0.0001711392,0.00007856468,0.00001541601,0.00004229499,0.0126373,0.0009463176,0.9784906,0.00017771,0.0004586398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02999716,0.00006385709,0.9608879,0.0005221676,0.0001662752,0.00031273,0.0002908647,0.0001437271,0.007615321],"genre_scores_gemma":[0.3721153,0.00003154204,0.627497,0.000112962,0.00005905505,0.00001850233,0.00001848777,0.00003199883,0.0001151016],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3421182,"threshold_uncertainty_score":0.7146078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2206583208946853,"score_gpt":0.4240305061758678,"score_spread":0.2033721852811825,"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."}}