{"id":"W2894683557","doi":"10.1186/s12889-018-5899-2","title":"Refining the Canadian Assessment of Physical Literacy based on theory and factor analyses","year":2018,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Children's Physical and Motor Development","field":"Psychology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Mitacs; Royal Bank of Canada; Public Health Agency; Public Health Agency of Canada","keywords":"Confirmatory factor analysis; Structural equation modeling; Competence (human resources); Biostatistics; Medicine; Waist; Health literacy; Psychology; Developmental psychology; Statistics; Body mass index; Social psychology; Mathematics; Public health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008080129,0.0001214051,0.0002195402,0.0001365599,0.000264442,0.00005565407,0.0001598057,0.00003771934,0.0002892284],"category_scores_gemma":[0.0000909361,0.00007495727,0.00005545956,0.0002373002,0.0001529262,0.00004996081,0.00002670407,0.0001713146,0.00002165118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001813781,"about_ca_system_score_gemma":0.001716958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02803307,"about_ca_topic_score_gemma":0.02180807,"domain_scores_codex":[0.9983178,0.00058373,0.00021897,0.0002665294,0.0002103936,0.0004026037],"domain_scores_gemma":[0.9985163,0.0005617139,0.0001167114,0.000355045,0.00008071807,0.0003695056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001070939,0.001127967,0.1546845,0.0000912836,0.0002010048,0.000003120557,0.01926835,0.000005077346,0.00009509423,0.4605771,0.004953874,0.3588856],"study_design_scores_gemma":[0.0003523834,0.0004063972,0.9714544,0.00002174987,0.000004111288,7.86326e-7,0.00009751629,0.0005500311,0.00001099336,0.000411604,0.02659954,0.00009050564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657428,0.00003557634,0.00134716,0.007408252,0.0002840539,0.0002717945,0.00008787808,0.00003660663,0.02478588],"genre_scores_gemma":[0.9947498,5.367663e-7,0.0004932492,0.004193119,0.0002598834,0.00002375165,0.00002195731,0.00001162803,0.0002460991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8167699,"threshold_uncertainty_score":0.9960414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09135380815798284,"score_gpt":0.4364377942647901,"score_spread":0.3450839861068073,"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."}}