{"id":"W3106748515","doi":"10.13169/prometheus.36.3.0217","title":"Embedded research in rehabilitation engineering","year":2020,"lang":"en","type":"article","venue":"Prometheus","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Contextualization; Context (archaeology); Knowledge management; Product (mathematics); Process (computing); Embedding; Computer science; Engineering ethics; Engineering; Artificial intelligence; History","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":[0.001392521,0.00006592755,0.0001033971,0.0003504184,0.00006862159,0.00003879421,0.0001799989,0.00008065772,0.00003935547],"category_scores_gemma":[0.00147204,0.00006631285,0.00001699602,0.002185633,0.00006870919,0.0002614783,0.0001763199,0.000338026,0.0001755355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004187792,"about_ca_system_score_gemma":0.00001389221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001575796,"about_ca_topic_score_gemma":0.000001658864,"domain_scores_codex":[0.9992472,0.00001678184,0.0001637962,0.0001867807,0.0001741066,0.0002113243],"domain_scores_gemma":[0.9996645,0.00009386704,0.00003335319,0.00008041668,0.0001233471,0.000004508952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005530839,0.0001188609,0.0348777,0.0005402253,0.00002366237,0.00001700515,0.004183729,0.00009286887,0.00289431,0.9165077,0.001998522,0.03869009],"study_design_scores_gemma":[0.002695116,0.0001826692,0.1900538,0.0002968606,0.00001704544,0.000001274422,0.01266532,0.04523614,0.003768673,0.4971378,0.2466145,0.001330775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950968,0.000045622,0.001108719,0.02219587,0.000164291,0.0005645514,3.14285e-7,0.0002739682,0.0246787],"genre_scores_gemma":[0.9920034,9.595707e-7,0.007179308,0.0004915766,0.0001912474,0.00009627055,0.000003707418,0.00001200732,0.00002151534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4193699,"threshold_uncertainty_score":0.270416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1033104057341643,"score_gpt":0.3106907765102968,"score_spread":0.2073803707761324,"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."}}