{"id":"W4312967176","doi":"10.1109/hri53351.2022.9889497","title":"Lifecycle: A Speculative Fiction on Healthcare Automation","year":2022,"lang":"en","type":"article","venue":"2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fantasy; Health care; Wearable computer; Nutritionist; Set (abstract data type); Altruism (biology); Computer science; Sociology; Psychology; Management; Public relations; Medicine; Artificial intelligence; Social psychology; Political science; Economics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003318084,0.0003131342,0.0002208344,0.0002104635,0.0006976532,0.0001339304,0.0006239085,0.0001517958,0.002577942],"category_scores_gemma":[0.0001660388,0.0003573026,0.0002200631,0.0001603838,0.00006807629,0.00003188167,0.0002484343,0.0006463646,0.0001051132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004679596,"about_ca_system_score_gemma":0.000159184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000107351,"about_ca_topic_score_gemma":0.0001135595,"domain_scores_codex":[0.9973373,0.0003055811,0.0005107615,0.000786111,0.0007605453,0.000299695],"domain_scores_gemma":[0.9983144,0.00005021056,0.0004238071,0.0006165865,0.0004722861,0.0001226553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002520754,0.003499472,0.002489674,0.00009458677,0.001281632,0.0000483079,0.006789403,0.0434093,0.559746,0.04214386,0.3215657,0.0164113],"study_design_scores_gemma":[0.0095915,0.01666081,0.04141724,0.0005246636,0.000213789,0.0003474443,0.03716316,0.07973301,0.2590458,0.008246741,0.542421,0.004634887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454601,0.00008480961,0.002221116,0.008602186,0.008760916,0.0008580113,0.0003372665,0.0001555183,0.03352007],"genre_scores_gemma":[0.9874891,0.0001258974,0.0001880118,0.002540867,0.001004624,0.0002567015,0.001497814,0.00004542891,0.006851542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3007002,"threshold_uncertainty_score":0.9998879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1211883850136018,"score_gpt":0.4072437218286572,"score_spread":0.2860553368150553,"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."}}