{"id":"W7110945356","doi":"10.1371/journal.pone.0325064.s001","title":"Search strings used in the current study.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Checklist; Quality of life (healthcare); Socioeconomic status; Psychological intervention; Population; Scale (ratio); Thematic analysis; Constraint (computer-aided design)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00894032,0.002703109,0.01104636,0.02941884,0.001320302,0.006027217,0.003879185,0.004225377,0.5061527],"category_scores_gemma":[0.06890352,0.001468846,0.003599072,0.02827066,0.001551709,0.006621136,0.00478867,0.002057065,0.04251801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005580423,"about_ca_system_score_gemma":0.01633338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008523512,"about_ca_topic_score_gemma":0.01151197,"domain_scores_codex":[0.991161,0.001922919,0.004782881,0.001019,0.0006958921,0.0004181942],"domain_scores_gemma":[0.9737048,0.01760265,0.004211295,0.0007246756,0.003029573,0.0007269951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008753175,0.00007120034,0.0007907223,0.7955088,0.0006495372,0.0003943806,0.000730168,0.0003289397,0.000398121,0.005571194,0.1574186,0.03726296],"study_design_scores_gemma":[0.002748733,0.0002518015,0.003938991,0.6292987,0.001668272,0.0005165741,0.001171172,0.0009609757,0.0002857356,0.009872798,0.3491048,0.000181309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003216762,0.03470256,0.004173389,0.008523522,0.002567546,0.11978,0.7595775,0.002557019,0.06490185],"genre_scores_gemma":[0.0275075,0.0798732,0.03092444,0.01578771,0.001546158,0.6088945,0.1884143,0.002518009,0.04453411],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4938473,"threshold_uncertainty_score":0.7044132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2992497571997954,"score_gpt":0.5247221258983751,"score_spread":0.2254723686985797,"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."}}