{"id":"W3210476655","doi":"10.1080/10400435.2021.1992541","title":"An exploratory analysis of global trends in wheelchair service provision knowledge across different demographic variables: 2017–2020","year":2021,"lang":"en","type":"article","venue":"Assistive Technology","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"United States Agency for International Development","keywords":"Wheelchair; Exploratory analysis; Service (business); Applied psychology; Psychology; Gerontology; Computer science; Knowledge management; Medicine; Business; Data science; Marketing; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001673267,0.0002317345,0.0007702145,0.00060302,0.00006395376,0.000009071202,0.0002000929,0.0003535803,0.0001729027],"category_scores_gemma":[0.00006884586,0.0002088056,0.0001832847,0.008316213,0.0001761583,0.0001060333,0.000183318,0.0002296,0.000007490202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355056,"about_ca_system_score_gemma":0.0001037048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001120522,"about_ca_topic_score_gemma":0.02537468,"domain_scores_codex":[0.9983401,0.0000968758,0.0004301074,0.0005881925,0.0001731323,0.0003715413],"domain_scores_gemma":[0.9987732,0.00003312717,0.0001543602,0.0006440798,0.0002984803,0.00009679358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001421398,0.001789253,0.9571542,0.00008844162,0.0009797339,0.00009751628,0.0003493004,0.00002083575,0.005819086,0.002247287,0.0001969315,0.03111527],"study_design_scores_gemma":[0.001969407,0.0003767648,0.9873439,0.0001041465,0.0008091069,0.000008534335,0.005509412,0.001142971,0.001363666,0.000601877,0.0005645467,0.0002056692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943407,0.0008862002,0.0009055131,0.00193382,0.00008602413,0.0001581749,0.00008359929,0.0001459307,0.001460041],"genre_scores_gemma":[0.9989538,0.0001117272,0.0002260995,0.0002348547,0.0000144813,0.00005562523,0.0002795764,0.00001276864,0.0001111101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0309096,"threshold_uncertainty_score":0.9924097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715713794086946,"score_gpt":0.3227065698647719,"score_spread":0.3055494319239024,"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."}}