{"id":"W6977165302","doi":"10.6084/m9.figshare.14850668.v1","title":"Additional file 1 of The development of lived experience-centered word clouds to support research uncertainty gathering in degenerative cervical myelopathy: results from an engagement process and protocol for their evaluation, via a nested randomized controlled trial","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University Health Network; University of Toronto","funders":"","keywords":"Protocol (science); Cloud computing; Process (computing); Word (group theory); Tag cloud; Action (physics); Information processing; Information management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01804498,0.001565926,0.002235055,0.002476985,0.00154624,0.002681983,0.001808655,0.001890848,0.8391503],"category_scores_gemma":[0.1192288,0.001384236,0.002093585,0.00345764,0.0008355035,0.002636014,0.00152036,0.002116239,0.0603822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002706716,"about_ca_system_score_gemma":0.007019605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002385401,"about_ca_topic_score_gemma":0.005609161,"domain_scores_codex":[0.9949489,0.002905999,0.0009773422,0.0003925842,0.0004952613,0.0002799235],"domain_scores_gemma":[0.8857457,0.0975357,0.005476115,0.003296188,0.006635216,0.00131115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.02952591,0.001217612,0.001245498,0.1429886,0.000819162,0.0001350726,0.001214968,0.001564173,0.0003070935,0.008892938,0.7276318,0.08445724],"study_design_scores_gemma":[0.4006597,0.005783856,0.01329848,0.05718566,0.002869463,0.0002872378,0.001893941,0.005424961,0.001703254,0.03486232,0.4755917,0.000439341],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00283963,0.0004836479,0.006755847,0.001504274,0.000582617,0.2170933,0.7601446,0.001300794,0.009295387],"genre_scores_gemma":[0.01103239,0.0003781641,0.02303518,0.0007685272,0.0001456515,0.9213384,0.03204488,0.0003372068,0.01091976],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8391503,"threshold_uncertainty_score":0.2294325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7869791395027484,"score_gpt":0.5668717645855391,"score_spread":0.2201073749172093,"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."}}