{"id":"W6977443930","doi":"10.6084/m9.figshare.22599626.v1","title":"Additional file 2 of Cross-cultural translation, adaptation, and validation of the stroke-specific quality of life (SSQOL) scale 2.0 into Amharic language","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Amharic; Scale (ratio); Quality (philosophy); Measure (data warehouse); Data quality","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":[0.003272156,0.0009563499,0.001081631,0.002489713,0.001131071,0.001641238,0.001572181,0.001200731,0.9015032],"category_scores_gemma":[0.0564216,0.0005912131,0.000883577,0.003829348,0.000367136,0.002159342,0.001238063,0.001265552,0.1924913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190557,"about_ca_system_score_gemma":0.002414735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009898894,"about_ca_topic_score_gemma":0.01632527,"domain_scores_codex":[0.9987652,0.0003608259,0.0002964582,0.0002168392,0.0002243898,0.0001362172],"domain_scores_gemma":[0.9564291,0.0338197,0.00167316,0.001724111,0.005710074,0.0006438234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003322104,0.0001243555,0.001185334,0.001516429,0.00002162211,0.00004163155,0.000116405,0.0001315256,0.00003768156,0.0006552658,0.9867756,0.009061825],"study_design_scores_gemma":[0.011211,0.0005260759,0.0557182,0.007594801,0.0002504941,0.0006622379,0.001763004,0.001279934,0.0008964053,0.01880888,0.9010097,0.0002793774],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004204417,0.00002060792,0.0003892349,0.0002090028,0.00004678813,0.0003802033,0.9965633,0.0001987285,0.001771836],"genre_scores_gemma":[0.01311332,0.0001955548,0.005306105,0.001062329,0.0001859914,0.01362694,0.9431044,0.001107679,0.02229777],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9015032,"threshold_uncertainty_score":0.1404936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1363211164670311,"score_gpt":0.2760024855020362,"score_spread":0.1396813690350051,"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."}}