{"id":"W4241894447","doi":"10.21203/rs.3.rs-72722/v2","title":"Profiling Knowledge Brokers in the Rehabilitation sector across Canada: A descriptive study","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Centre for Interdisciplinary Research in Rehabilitation; McGill University","keywords":"Knowledge translation; Facilitator; Descriptive statistics; Rehabilitation; Expert opinion; Profiling (computer programming); Health care; Medical education; Work (physics); Psychology; Nursing; Medicine; Knowledge management; Applied psychology; Computer science; Engineering; Social psychology; Political science; Physical therapy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004752605,0.0002656856,0.0008419196,0.00595511,0.01001209,0.007566553,0.002139587,0.001647759,0.004959303],"category_scores_gemma":[0.02555004,0.0006016266,0.0003849616,0.01631926,0.002727386,0.003070869,0.003988418,0.001919645,0.0004708374],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03865955,"about_ca_system_score_gemma":0.08895116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9833819,"about_ca_topic_score_gemma":0.9878399,"domain_scores_codex":[0.9938424,0.0007658902,0.0005018277,0.0006412194,0.002200521,0.002048153],"domain_scores_gemma":[0.9641659,0.008936639,0.007120624,0.00100974,0.01206618,0.006700981],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001379538,0.0003318768,0.8512198,0.000129164,0.00003969419,0.0003826069,0.1321067,0.0000827968,0.0003081007,0.00131634,0.002569229,0.01137572],"study_design_scores_gemma":[0.00002025412,0.00007278279,0.7006981,0.0001720781,0.00003913682,0.0001279117,0.2920752,0.0004663472,0.0001331852,0.0001724679,0.005978528,0.00004405385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949483,0.0003479659,0.0001111913,0.0007679628,0.000006990157,0.0001144803,0.0009221554,0.000005630688,0.002775398],"genre_scores_gemma":[0.9965988,0.0004008475,0.0002492054,0.0002441467,0.000005992327,0.00006029913,0.000535415,0.000008014018,0.001897391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9952474,"threshold_uncertainty_score":0.280496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3406604999572561,"score_gpt":0.5967917047291885,"score_spread":0.2561312047719324,"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."}}