{"id":"W2962755554","doi":"10.1155/2019/6764834","title":"Development and Preliminary Validation of a Stroke Physical Activity Questionnaire","year":2019,"lang":"en","type":"article","venue":"Stroke Research and Treatment","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Khon Kaen University","keywords":"Medicine; Stroke (engine); Physical activity; Data science; Physical medicine and rehabilitation; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01434856,0.0003712447,0.0005564094,0.001246463,0.0004028236,0.0005438052,0.0005920468,0.0003893896,0.001961782],"category_scores_gemma":[0.01664783,0.0002895098,0.0008514832,0.0006323276,0.000341442,0.0007265572,0.0008847813,0.0007278614,0.000808814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005097574,"about_ca_system_score_gemma":0.001980985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001234199,"about_ca_topic_score_gemma":0.002008802,"domain_scores_codex":[0.9956213,0.001974132,0.0008768809,0.0002452485,0.001085645,0.0001968131],"domain_scores_gemma":[0.9917372,0.00283725,0.0006742114,0.0003084778,0.004064056,0.0003787249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001203627,0.003292865,0.7549278,0.0005868112,0.0003256655,0.0002516029,0.003045703,0.001011617,0.00682046,0.0006162372,0.004898831,0.2230188],"study_design_scores_gemma":[0.0003753992,0.004126813,0.9826841,0.0001827639,0.00007608772,0.000312178,0.0006438885,0.002259722,0.001011355,0.0002342366,0.008059666,0.00003377383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9685056,0.0004946209,0.01324744,0.0004148943,0.0001561831,0.01010002,0.002794527,0.00008902035,0.004197654],"genre_scores_gemma":[0.9176653,0.0006323965,0.05699342,0.0003698728,0.00008973654,0.01570152,0.00590793,0.00003606221,0.002603818],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01434856,"threshold_uncertainty_score":0.07588333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04841614682153299,"score_gpt":0.371458767523943,"score_spread":0.32304262070241,"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."}}