{"id":"W4244039756","doi":"10.1002/9781118445112.stat07621","title":"Longitudinal Studies","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Western University","funders":"","keywords":"Longitudinal study; Longitudinal data; Psychology; Computer science; Statistics; Mathematics; Data mining","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":[0.01575255,0.0006871675,0.001210761,0.004275857,0.001386127,0.002188896,0.001356773,0.001324874,0.05636061],"category_scores_gemma":[0.0808915,0.0004059791,0.001103667,0.007093735,0.001053601,0.002883812,0.002301825,0.001979725,0.00876589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598572,"about_ca_system_score_gemma":0.003905285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005489646,"about_ca_topic_score_gemma":0.004647679,"domain_scores_codex":[0.9803152,0.01186113,0.001479922,0.003001268,0.002731823,0.0006106569],"domain_scores_gemma":[0.933659,0.02623739,0.01193702,0.01165011,0.01397742,0.002539051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008754742,0.0004110795,0.1504954,0.006940213,0.003149247,0.0007407545,0.004141976,0.0007289526,0.0006664746,0.1593873,0.360454,0.3120092],"study_design_scores_gemma":[0.0001677079,0.0006089704,0.087654,0.008007037,0.001237742,0.001738741,0.002030959,0.00050033,0.0005533181,0.04836407,0.8490225,0.0001145477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0821715,0.1824556,0.1025128,0.03592945,0.01372816,0.006026935,0.2348738,0.001343396,0.3409582],"genre_scores_gemma":[0.5662732,0.1067817,0.0754355,0.02745427,0.009681745,0.01365903,0.09916074,0.0007663182,0.1007876],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05636061,"threshold_uncertainty_score":0.188545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1847822416748701,"score_gpt":0.4497118643305009,"score_spread":0.2649296226556308,"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."}}