{"id":"W4318347897","doi":"10.48550/arxiv.2301.10823","title":"Reflective Artificial Intelligence","year":2023,"lang":"en","type":"preprint","venue":"Research Portal (King's College London)","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Delegate; Sketch; Ambiguity; Cognitive science; Computer science; Context (archaeology); Reflection (computer programming); Ask price; Human intelligence; Social intelligence; Cognition; Kaleidoscope; Artificial intelligence; Psychology; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008662704,0.001189232,0.000833975,0.00149297,0.003121036,0.01145364,0.002568096,0.003649767,0.01007412],"category_scores_gemma":[0.01972979,0.0006719176,0.001361934,0.001037046,0.01558381,0.01247138,0.007701726,0.004037483,0.003273623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00305268,"about_ca_system_score_gemma":0.003544504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281733,"about_ca_topic_score_gemma":0.001112043,"domain_scores_codex":[0.9907059,0.005068109,0.0004897243,0.001690351,0.001563486,0.0004823553],"domain_scores_gemma":[0.9889881,0.004278205,0.0006095341,0.00423188,0.001286654,0.000605724],"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":[0.00001503073,0.00002387908,0.0003068473,0.0000998371,0.00002082083,0.00005352274,0.001399115,0.00102308,0.0003055458,0.971276,0.005112744,0.02036351],"study_design_scores_gemma":[0.00001228918,0.00001409481,0.00009743901,0.00009695782,0.00001210542,0.0001132243,0.0005158752,0.003121086,0.0004693896,0.9197477,0.07578624,0.00001361047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01067908,0.004574677,0.5569703,0.03012643,0.001199132,0.0003358489,0.000179585,0.00120506,0.3947298],"genre_scores_gemma":[0.574317,0.005101333,0.3355838,0.006303163,0.0009908162,0.0006195144,0.0005801601,0.0006168347,0.07588737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01145364,"threshold_uncertainty_score":0.04581326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1976808821876697,"score_gpt":0.4595103307702774,"score_spread":0.2618294485826077,"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."}}