{"id":"W3033781292","doi":"10.1080/17483107.2020.1775316","title":"Technical quality of online resources for mobility device training","year":2020,"lang":"en","type":"article","venue":"Disability and Rehabilitation Assistive Technology","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Training (meteorology); Quality (philosophy); Computer science; Physical medicine and rehabilitation; Psychology; Medicine; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.002555844,0.0002627948,0.0009008404,0.0001197394,0.0006189583,0.000003795678,0.0004910944,0.0008538973,0.000084926],"category_scores_gemma":[0.02719238,0.000237648,0.0002012339,0.0007687592,0.005507228,0.0001047577,0.0004275881,0.001037326,0.000005544477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180969,"about_ca_system_score_gemma":0.0001824394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006760853,"about_ca_topic_score_gemma":0.0005273382,"domain_scores_codex":[0.9958227,0.001100212,0.001614728,0.0008434099,0.0002042205,0.0004147352],"domain_scores_gemma":[0.9872081,0.01018769,0.0007175192,0.0009542926,0.0007773667,0.0001550636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005920271,0.0007072448,0.9433199,0.001003851,0.00003454356,6.907085e-8,0.001315414,0.000001805011,0.004705607,0.02670837,0.0002059084,0.02140526],"study_design_scores_gemma":[0.001094732,0.0007116594,0.9562575,0.00007725236,0.00003851549,3.987985e-7,0.0277459,0.0001687391,0.00005944947,0.005485956,0.008146232,0.0002136961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9184121,0.0001675424,0.007452204,0.0698493,0.000071526,0.002259566,0.0004555895,0.0006925929,0.0006396142],"genre_scores_gemma":[0.9527972,0.00001565421,0.04558892,0.0006084169,0.00004143206,0.0008588572,0.00005099777,0.00002029533,0.00001817774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06924088,"threshold_uncertainty_score":0.9971992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371961123812679,"score_gpt":0.4706324155017207,"score_spread":0.3334363031204528,"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."}}