{"id":"W2622418007","doi":"10.1161/str.47.suppl_1.wp389","title":"Abstract WP389: Understanding the Clinicians’ Experiences in Collecting Stroke Rehabilitation Intensity Data Within Ontario","year":2016,"lang":"en","type":"article","venue":"Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Stroke Network","funders":"","keywords":"Data collection; Medicine; Thematic analysis; Descriptive statistics; Workload; Rehabilitation; Demographics; Stroke (engine); Data quality; Physical therapy; Qualitative research; Operations management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02503581,0.0002883446,0.0004818639,0.0009483959,0.008143467,0.005208913,0.001939971,0.0009649516,0.003283186],"category_scores_gemma":[0.07351146,0.0007018345,0.0005123761,0.003134502,0.004150146,0.003237328,0.00505804,0.001384091,0.0004919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0659081,"about_ca_system_score_gemma":0.1058614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.825509,"about_ca_topic_score_gemma":0.8666863,"domain_scores_codex":[0.9736008,0.01119595,0.002922501,0.001241993,0.006881237,0.004157602],"domain_scores_gemma":[0.8950248,0.03873936,0.01787776,0.003646431,0.03341671,0.01129495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000151725,0.0001062894,0.2088973,0.001106826,0.00003768875,0.0007801614,0.7244083,0.0003071472,0.001397152,0.0005969817,0.01794862,0.04426191],"study_design_scores_gemma":[0.00002405589,0.0002371105,0.2886153,0.0009529631,0.00003014483,0.0002350655,0.6490535,0.0006152745,0.0006329251,0.0002937193,0.05921615,0.00009385329],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513482,0.0009777627,0.002085359,0.02907832,0.0001028853,0.0008531949,0.001712376,0.0000832704,0.01375858],"genre_scores_gemma":[0.9892451,0.001208342,0.002528643,0.003054236,0.00003545909,0.0007106347,0.0004799757,0.00003820927,0.002699411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.825509,"threshold_uncertainty_score":0.4781989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127401191513509,"score_gpt":0.3422635027840522,"score_spread":0.2295233836327014,"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."}}