{"id":"W4288686870","doi":"10.2196/37189","title":"The Stroke Recovery in Motion Implementation Planner: Mixed Methods User Evaluation","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Memorial University of Newfoundland; Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of British Columbia; Toronto Rehabilitation Institute; University of Toronto; University Health Network; Ottawa Hospital; March of Dimes Canada; University of Ottawa","funders":"","keywords":"Planner; Nonprobability sampling; Sample (material); Rehabilitation; Computer science; Descriptive statistics; Applied psychology; Psychology; Medical education; Medicine; Nursing; Physical therapy; Population; Environmental health; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1945927,0.002011887,0.002779755,0.003190745,0.003375759,0.003179722,0.003861234,0.002115648,0.009830742],"category_scores_gemma":[0.132223,0.001575469,0.003342646,0.002848154,0.001560402,0.002204072,0.004671714,0.001661751,0.001226343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006429744,"about_ca_system_score_gemma":0.01885486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005556645,"about_ca_topic_score_gemma":0.01179426,"domain_scores_codex":[0.837325,0.1380476,0.010118,0.003379919,0.008181326,0.002948082],"domain_scores_gemma":[0.8823556,0.07095235,0.005971386,0.007689307,0.03046316,0.002568332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.03385343,0.0399333,0.02500632,0.03327767,0.001759478,0.00100023,0.08150939,0.004495665,0.003411989,0.004030573,0.0133444,0.7583776],"study_design_scores_gemma":[0.08644981,0.3110533,0.1169476,0.04432832,0.009100027,0.001000375,0.1491582,0.02700789,0.02792856,0.01322157,0.212172,0.001632249],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.4171674,0.002354858,0.04792855,0.001146716,0.0002736245,0.5137607,0.004470902,0.0006380453,0.01225928],"genre_scores_gemma":[0.187979,0.001113078,0.1367584,0.0009255949,0.00006847841,0.6695403,0.001015482,0.0001608556,0.002438729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1945927,"threshold_uncertainty_score":0.9932106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019576253805708,"score_gpt":0.5338084349550175,"score_spread":0.4318508095744467,"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."}}