{"id":"W6946173796","doi":"10.26069/greynet-2019-000.073-gg","title":"When the Virtual Becomes Reality: An Environmental Scan of the Presence of Virtual Reality and Artificial Intelligence in Health and Cancer Care Environments","year":2019,"lang":"en","type":"article","venue":"GreyNet International","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Cognitive computing; Watson; IBM; Virtual reality; Applications of artificial intelligence; Artificial life; Field (mathematics); Cloud computing; Virtual machine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002599892,0.0001006134,0.0001289278,0.00001983051,0.00006044539,0.00001645157,0.0003355586,0.00003981024,0.00556422],"category_scores_gemma":[0.00002279991,0.00007077243,0.00002888648,0.00005262796,0.0005651858,0.0001539719,0.0003800588,0.0001048793,0.00001104065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762149,"about_ca_system_score_gemma":0.00001744082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0036221,"about_ca_topic_score_gemma":0.00316529,"domain_scores_codex":[0.998733,0.0001172565,0.0003168007,0.0002562508,0.0004312126,0.000145455],"domain_scores_gemma":[0.9994605,0.00005689019,0.0001918314,0.0002241243,0.000003599224,0.00006301168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000123318,0.0001977646,0.9035616,0.00001899796,0.00002382892,5.102061e-7,0.01135903,0.0008344374,0.004637044,0.008269316,0.000294342,0.07067981],"study_design_scores_gemma":[0.0001858343,0.0001771121,0.9697387,0.00003525715,0.000004843849,0.000003537665,0.01936112,0.001812428,0.002065883,0.0005995439,0.005900061,0.0001156393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963628,0.0001236345,0.00003307097,0.001819526,0.0001828709,0.0002624909,0.0005997546,0.000003007939,0.0006128367],"genre_scores_gemma":[0.9991066,0.0004061837,0.000008153332,0.0001960442,0.00001679257,0.0000130202,0.0000605949,0.000005098179,0.0001875168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07056417,"threshold_uncertainty_score":0.9953448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780251321920264,"score_gpt":0.2954272937867245,"score_spread":0.2576247805675219,"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."}}