{"id":"W6921160953","doi":"10.6084/m9.figshare.12864848.v1","title":"Additional file 3 of Developing theory-informed knowledge translation strategies to facilitate the use of patient-reported outcome measures in interdisciplinary low back pain clinical practices in Quebec: mixed methods study","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de Readaptation Gingras Lindsay de Montreal; McGill University; Université de Montréal; Université du Québec à Trois-Rivières; University Health Network; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Patient-reported outcome; Low back pain; Outcome (game theory); Knowledge translation; Patient data; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009622899,0.0008634437,0.001405454,0.003157117,0.002562828,0.002377067,0.002153004,0.00111232,0.8269262],"category_scores_gemma":[0.1007007,0.0008295667,0.00131139,0.005184052,0.0006071082,0.001902007,0.00155618,0.001159126,0.08069766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006816332,"about_ca_system_score_gemma":0.01420041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1291116,"about_ca_topic_score_gemma":0.2974977,"domain_scores_codex":[0.9973952,0.001077926,0.0004120022,0.0002464709,0.0005659201,0.0003024603],"domain_scores_gemma":[0.8986695,0.07443806,0.00261753,0.003507013,0.0194581,0.001309847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004852901,0.000275374,0.003365539,0.00435456,0.00004051654,0.00004398717,0.000996734,0.0002543361,0.00005043995,0.001225009,0.9657326,0.02317565],"study_design_scores_gemma":[0.02532933,0.0008413444,0.07741748,0.02174475,0.0005414819,0.0002163465,0.00986651,0.00378299,0.001336298,0.01464943,0.8438868,0.0003871791],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001386143,0.00004259127,0.001196539,0.0005930474,0.0000708261,0.006462744,0.9840146,0.0004070913,0.005826585],"genre_scores_gemma":[0.05045367,0.000455716,0.04262127,0.002076142,0.0001797151,0.2537448,0.5958652,0.001193776,0.05340958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8708884,"threshold_uncertainty_score":0.2567202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3769252189415074,"score_gpt":0.4644469687835441,"score_spread":0.0875217498420367,"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."}}