{"id":"W7163023411","doi":"10.6082/h3yx7-v1293","title":"Statistical analysis of the longitudinal fundamental movement skills data in the REACT project using the multilevel ordinal logistic model","year":2023,"lang":"en","type":"article","venue":"University of Chicago","topic":"Children's Physical and Motor Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Ordered logit; Ordinal data; Motor skill; Ordinal regression; Multilevel model; Movement (music); Longitudinal data; Longitudinal study","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":[0.0004158864,0.0001084517,0.0002305622,0.0001350512,0.0001522353,0.000008392978,0.0009747901,0.00004057718,0.0001078691],"category_scores_gemma":[0.00004141627,0.00006294443,0.0001037333,0.0007944406,0.0003520677,0.00004340801,0.0005379076,0.0001971912,0.00000565899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005889397,"about_ca_system_score_gemma":0.00009719589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002978633,"about_ca_topic_score_gemma":0.0007568388,"domain_scores_codex":[0.9987777,0.0001782192,0.0001813721,0.0002970146,0.0003599772,0.0002057502],"domain_scores_gemma":[0.9987539,0.0003277307,0.0001320569,0.0007317677,0.000031368,0.00002319097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001303714,0.006231966,0.7493258,0.0001213069,0.008384137,0.0002064249,0.07836664,0.03222314,0.002015526,0.08500996,0.02368669,0.01312477],"study_design_scores_gemma":[0.0004888011,0.00003012774,0.9319897,0.00001712261,0.0005344005,0.000001262648,0.002634063,0.06345441,0.000008338993,0.0005347715,0.0002211085,0.00008589134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989973,0.000005010394,0.007405902,0.0004795166,0.00006547932,0.0003511877,0.0009467311,0.00001028174,0.0007629071],"genre_scores_gemma":[0.9988433,0.000005185832,0.000620867,0.00008328315,0.00001403969,5.538531e-7,0.0001435481,0.000004531769,0.0002846586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.182664,"threshold_uncertainty_score":0.4502822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150745864122334,"score_gpt":0.347116387806142,"score_spread":0.2320418013939087,"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."}}