{"id":"W4254263330","doi":"10.32920/ryerson.14662050","title":"Wayfinding, robotics and hospitals","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Confidentiality; Robotics; Robot; Health care; Artificial intelligence; Computer science; Business; Nursing; Medicine; Computer security; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000808373,0.0001592266,0.0002568096,0.0000636562,0.00005313647,0.0001543213,0.000110089,0.000398289,0.01338427],"category_scores_gemma":[0.0000431022,0.0001617829,0.0001095777,0.00004145831,0.0000412134,0.00002591143,0.0003221946,0.0005341619,0.0003157837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003407129,"about_ca_system_score_gemma":0.00003385326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003965054,"about_ca_topic_score_gemma":0.00004925398,"domain_scores_codex":[0.9990886,0.00006030262,0.0001989338,0.0003831278,0.0000953612,0.0001736068],"domain_scores_gemma":[0.9993691,0.00007513644,0.0001005506,0.000309571,0.00006505053,0.00008051957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005117541,0.0005818997,0.0598053,0.000201533,0.001833046,0.0003628569,0.03632088,0.0003239177,0.0001546079,0.5319808,0.3295937,0.03879024],"study_design_scores_gemma":[0.003091804,0.0004055348,0.7516779,0.0008117777,0.0008016228,0.0002971468,0.09038001,0.0004959145,0.0006117647,0.04176687,0.1052459,0.004413765],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2187211,0.001804732,0.00580159,0.005897106,0.01758577,0.000363729,0.00001037326,0.0002841621,0.7495314],"genre_scores_gemma":[0.9062712,0.0001711508,0.002853435,0.001346382,0.0004944709,0.00003894621,0.00005472387,0.00003702988,0.08873264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6918727,"threshold_uncertainty_score":0.9875177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04888945463549051,"score_gpt":0.3848623860817115,"score_spread":0.335972931446221,"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."}}