{"id":"W3167015291","doi":"10.1177/25152459211047228","title":"A Guide to Visualizing Trajectories of Change With Confidence Bands and Raw Data","year":2021,"lang":"en","type":"article","venue":"Advances in Methods and Practices in Psychological Science","topic":"Mental Health Research Topics","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Raw data; Graphics; Computer science; Latent variable; Latent variable model; Software; Confidence interval; Latent growth modeling; Data science; Statistics; Data mining; Machine learning; Computer graphics (images); Mathematics","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":[0.008809839,0.0001129802,0.0002712608,0.0001405147,0.00009809875,0.00005711741,0.0005921812,0.00006496911,0.0001466455],"category_scores_gemma":[0.004925151,0.00008182662,0.000006305061,0.001503438,0.0009531344,0.001347632,0.0004182979,0.000325438,0.000001216826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002460628,"about_ca_system_score_gemma":0.00004899636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003702092,"about_ca_topic_score_gemma":0.0006327956,"domain_scores_codex":[0.9968255,0.001090897,0.0003624704,0.0009479998,0.0003406308,0.0004325193],"domain_scores_gemma":[0.9963451,0.002536459,0.0002457054,0.0006145726,0.00007999528,0.0001781758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004037643,0.0002341679,0.08029541,0.00009207713,0.000003184067,0.0001347649,0.002610408,0.000001517713,0.002632763,0.02459112,0.00001740342,0.8889834],"study_design_scores_gemma":[0.00231967,0.003060235,0.7191904,0.000565864,0.00001708964,0.000544014,0.01485187,0.0005040973,0.002524736,0.01648122,0.2393334,0.0006074908],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8213448,0.05358913,0.0460576,0.005997522,0.001446183,0.001325084,0.00002360007,0.00003370242,0.07018235],"genre_scores_gemma":[0.4432055,0.008739782,0.5465458,0.00122339,0.00005971044,0.00008565608,0.000001943373,0.000006276344,0.0001319287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8883759,"threshold_uncertainty_score":0.5896222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4427576191023546,"score_gpt":0.7213997723793312,"score_spread":0.2786421532769766,"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."}}