{"id":"W2263711634","doi":"10.1177/2055668315594076","title":"Development of an integrated staircase lift for home access","year":2015,"lang":"en","type":"article","venue":"Journal of Rehabilitation and Assistive Technologies Engineering","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia; British Columbia Institute of Technology","funders":"Canadian Institutes of Health Research; U.S. Public Health Service","keywords":"Lift (data mining); Stairs; Computer science; Process (computing); Human–computer interaction; Engineering; Civil engineering","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":[0.0008584951,0.000693534,0.0003101808,0.0005657295,0.0004545,0.0008839795,0.001272402,0.0009544038,0.003728912],"category_scores_gemma":[0.001436617,0.0003108273,0.0007066032,0.0001864964,0.0004018547,0.001086351,0.001380799,0.0006894302,0.001068437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002711114,"about_ca_system_score_gemma":0.0007630893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005085803,"about_ca_topic_score_gemma":0.0008549222,"domain_scores_codex":[0.999331,0.0001103356,0.0000595171,0.00007829899,0.0003482038,0.00007264735],"domain_scores_gemma":[0.999443,0.0001099268,0.00004684678,0.00006355475,0.0002635608,0.0000731155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006039437,0.0006063239,0.006411929,0.002436997,0.0001190802,0.003147222,0.003032696,0.007215787,0.5003152,0.01169885,0.0102853,0.4541266],"study_design_scores_gemma":[0.000482476,0.01037669,0.03195337,0.001761674,0.0006250811,0.01453937,0.003065329,0.1049016,0.431982,0.005885196,0.3939788,0.0004485063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.282976,0.0009682162,0.6897075,0.0007287891,0.0005575652,0.00202038,0.0004203376,0.003046029,0.01957534],"genre_scores_gemma":[0.5055945,0.0006292016,0.4732234,0.0003486243,0.00004976296,0.001005094,0.0004092662,0.0002552089,0.01848493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003728912,"threshold_uncertainty_score":0.01247448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08167193799649494,"score_gpt":0.4179588650055214,"score_spread":0.3362869270090265,"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."}}