{"id":"W4393041572","doi":"10.1016/j.bjpt.2024.100715","title":"GROSS MOTOR FUNCTION-FAMILY PREPORT (GMF-FR) - MEASUREMENT PROPERTIES","year":2024,"lang":"en","type":"article","venue":"Brazilian Journal of Physical Therapy","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; McMaster University","funders":"","keywords":"Function (biology); Biology; Genetics","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":[0.001721695,0.0009637553,0.0006487614,0.001385396,0.0003467177,0.0006180342,0.0004298115,0.0006786211,0.005943024],"category_scores_gemma":[0.00583802,0.0001637015,0.001003509,0.001157072,0.0003579299,0.0007339802,0.0005147373,0.0003379081,0.002121727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004221826,"about_ca_system_score_gemma":0.0004528443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004753706,"about_ca_topic_score_gemma":0.00410266,"domain_scores_codex":[0.9992514,0.000139898,0.00009271506,0.0001822263,0.000260692,0.00007306509],"domain_scores_gemma":[0.9972958,0.001019063,0.0004934319,0.000233454,0.0008438795,0.000114442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001625177,0.0002185402,0.677524,0.0005722452,0.0007810588,0.001052711,0.0005561624,0.02444075,0.01831476,0.002096283,0.005376626,0.2674417],"study_design_scores_gemma":[0.00001746635,0.0007384602,0.9505519,0.0001064553,0.0002589544,0.003344594,0.0002852521,0.02458523,0.01174759,0.00166776,0.006626251,0.00007000899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9182034,0.001649805,0.05217291,0.0001631337,0.0001292984,0.0002141207,0.01014597,0.0006578153,0.01666348],"genre_scores_gemma":[0.9835234,0.0002276079,0.009659919,0.00002792502,0.00002264698,0.0001504008,0.003098177,0.0001168856,0.003173061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005943024,"threshold_uncertainty_score":0.01988143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08467945901739989,"score_gpt":0.3240707783747752,"score_spread":0.2393913193573753,"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."}}