{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01186335,0.0003756786,0.0008625136,0.01095026,0.0007847426,0.003908427,0.001018651,0.0005482446,0.009124464],"category_scores_gemma":[0.09821443,0.0002372586,0.001000501,0.0103098,0.0006807278,0.003928141,0.003026489,0.0005990627,0.00146024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648919,"about_ca_system_score_gemma":0.003652986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004214693,"about_ca_topic_score_gemma":0.007154983,"domain_scores_codex":[0.9851446,0.004270994,0.003358887,0.0005617791,0.005952198,0.0007115177],"domain_scores_gemma":[0.8936163,0.05541236,0.02367761,0.003958343,0.01945286,0.003882554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005005385,0.0003244489,0.4046741,0.009859299,0.000369737,0.0004463057,0.004183789,0.0007506524,0.0007361415,0.001632157,0.0173699,0.5591529],"study_design_scores_gemma":[0.00005722623,0.0004333326,0.9090486,0.009646204,0.0004013998,0.001124903,0.01042297,0.001256453,0.001402825,0.001382734,0.06469588,0.0001274941],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8699315,0.01847876,0.009859428,0.005471868,0.0003852952,0.001494665,0.02086099,0.0006532681,0.07286438],"genre_scores_gemma":[0.9647139,0.007285647,0.01384468,0.0007154912,0.0001494979,0.0005472736,0.008320149,0.0001235631,0.004299762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01186335,"threshold_uncertainty_score":0.06274015,"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."}}