{"id":"W4384662239","doi":"10.1080/10400435.2023.2229880","title":"The REHAB-LAB model for individualized assistive device co-creation and production","year":2023,"lang":"en","type":"article","venue":"Assistive Technology","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Logic model; Fidelity; Living lab; Production (economics); Engineering management; Process (computing); Occupational therapy; Assistive technology; Computer science; Plan (archaeology); Knowledge management; Process management; Engineering; Human–computer interaction; Medicine","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002158729,0.0002366116,0.0003581842,0.0004330611,0.003532391,0.00001395679,0.0005145553,0.0007255222,0.00001493028],"category_scores_gemma":[0.005144875,0.0001834299,0.00006096681,0.001047791,0.00131568,0.0001022742,0.0004552219,0.0008254759,0.0001937419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002937572,"about_ca_system_score_gemma":0.000268609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001929672,"about_ca_topic_score_gemma":0.0002818535,"domain_scores_codex":[0.9975948,0.0004220213,0.0005881121,0.000615074,0.0001790577,0.0006009222],"domain_scores_gemma":[0.9956349,0.002132258,0.0004841145,0.001019672,0.0006692886,0.00005975444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005521724,0.0001726511,0.5068384,0.0001479375,0.0003208487,0.000001908498,0.0006612374,0.00001743163,0.003204663,0.1532731,0.1155257,0.2192839],"study_design_scores_gemma":[0.001824192,0.0002481906,0.6669902,0.0001457129,0.0001536764,0.000005751374,0.007882224,0.0133316,0.001053506,0.03677072,0.2711326,0.0004616288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6967072,0.0007355299,0.04660846,0.2091568,0.001307643,0.00979272,0.0003962142,0.007926207,0.02736912],"genre_scores_gemma":[0.9767326,0.0005124944,0.006339851,0.0003481451,0.00005728751,0.005646175,0.0001666744,0.00004444642,0.01015232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2800253,"threshold_uncertainty_score":0.9977649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09199487698103676,"score_gpt":0.4739551877225743,"score_spread":0.3819603107415376,"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."}}