{"id":"W3192948010","doi":"10.1007/978-3-030-67303-1_7","title":"Patients Perspective—Benefits and Challenges of Artificial Intelligence","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in bioengineering","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Perspective (graphical); Phenomenon; Subject (documents); Field (mathematics); Falling (accident); Health care; Health professionals; Population; Knowledge management; Management science; Data science; Risk analysis (engineering); Engineering ethics; Computer science; Business; Psychology; Artificial intelligence; Medicine; Engineering; Political science; Psychiatry; Epistemology; Law","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009628339,0.0002465879,0.0004374627,0.0002994601,0.00002347665,0.000009385899,0.00005760401,0.0003927398,0.00007604092],"category_scores_gemma":[0.0004470331,0.0002485431,0.00007527609,0.00007452515,0.00006893016,0.0000311577,0.00003895585,0.0004601426,0.000005310288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704483,"about_ca_system_score_gemma":0.00009222803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009806153,"about_ca_topic_score_gemma":0.0001987171,"domain_scores_codex":[0.9987696,0.000007589399,0.0004580382,0.000369972,0.0001941167,0.0002006911],"domain_scores_gemma":[0.9990522,0.0002120288,0.00009982396,0.0002343424,0.0003180956,0.00008348141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004570356,0.00006486849,0.0004753895,0.0008188088,0.00004980615,0.00001231317,0.002280174,0.001274839,0.0001406077,0.0979903,0.000001110904,0.8968461],"study_design_scores_gemma":[0.0004909448,0.006666734,0.01565674,0.05359627,0.001348921,0.0003523909,0.005486893,0.0235301,0.3625918,0.5101709,0.01314268,0.006965636],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1418824,0.7399445,0.04462824,0.02071778,0.006583313,0.004138644,0.0001388653,0.0003953956,0.04157092],"genre_scores_gemma":[0.9756324,0.02169443,0.00186893,0.00007794987,0.0004796477,0.00000991756,0.00003320658,0.0000638561,0.0001396999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8898804,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1211616520586681,"score_gpt":0.3344260057739865,"score_spread":0.2132643537153184,"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."}}