{"id":"W4389938470","doi":"10.21203/rs.3.rs-3749622/v1","title":"Demographic predictors of patients’ satisfaction with their recovery after non-catastrophic musculoskeletal injuries: a cross-sectional study","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Bivariate analysis; Marital status; Analysis of variance; Demography; Physical therapy; Internal medicine; Population; Environmental health; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.001187191,0.0002440855,0.0004395237,0.0008983124,0.0006695575,0.0009024453,0.0003436953,0.0008736423,0.004408219],"category_scores_gemma":[0.004038638,0.0004292938,0.0008065081,0.001289559,0.0004449335,0.0009657477,0.0005764604,0.00119329,0.0008654848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003700774,"about_ca_system_score_gemma":0.0004853235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003568518,"about_ca_topic_score_gemma":0.003782849,"domain_scores_codex":[0.9991307,0.0002663151,0.0001282004,0.000107428,0.0001619698,0.0002054177],"domain_scores_gemma":[0.9966081,0.0008917942,0.001258952,0.0001608671,0.0003441179,0.0007361661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009365776,0.0001820999,0.9989529,0.000005798217,0.0000321753,0.00003638062,0.0001482344,0.00001515585,0.00004517691,0.000008716863,0.00006785344,0.0004118633],"study_design_scores_gemma":[0.000005326268,0.0003210385,0.9987313,0.000002960441,0.00001387991,0.0001022525,0.000651147,0.00005678698,0.00001552173,0.000008088854,0.00008775265,0.000003951282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992421,0.00004240116,0.00003382163,0.00003565789,0.000004268653,0.00001113637,0.0002955865,0.000001540302,0.00033358],"genre_scores_gemma":[0.9993485,0.00003208562,0.0000340393,0.00003587598,0.000006163776,0.00001337168,0.0003046824,0.00000121078,0.0002241257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004408219,"threshold_uncertainty_score":0.0147469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09054953893043548,"score_gpt":0.4647166940858001,"score_spread":0.3741671551553646,"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."}}