{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00232824,0.0006445982,0.0002123849,0.0008831923,0.006523611,0.007305316,0.0008709386,0.004236378,0.0105271],"category_scores_gemma":[0.006125001,0.0002646168,0.0005613578,0.0006263324,0.01675221,0.007890081,0.00369815,0.005228261,0.003079658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003181995,"about_ca_system_score_gemma":0.001445121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004685008,"about_ca_topic_score_gemma":0.003989426,"domain_scores_codex":[0.9983639,0.0009630038,0.00003828329,0.0001666441,0.0002825509,0.0001855596],"domain_scores_gemma":[0.9982041,0.001256603,0.00007917496,0.0001497167,0.0001565592,0.0001538644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002551112,0.000009856015,0.0001339777,0.00004149893,0.000003036056,0.0003939523,0.01100344,0.0001620642,0.0001192845,0.8647621,0.1150414,0.008303754],"study_design_scores_gemma":[0.00000848967,0.00001780656,0.0001194809,0.00009035255,0.000003207387,0.0003456631,0.004644063,0.0003491358,0.0001787107,0.07282085,0.9214103,0.00001189762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01041566,0.01274555,0.03046769,0.4106758,0.0101819,0.00009798312,0.0003536274,0.000587751,0.524474],"genre_scores_gemma":[0.6099842,0.009867899,0.01516729,0.06960447,0.007027518,0.0002762219,0.0003733481,0.0006640624,0.287035],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0105271,"threshold_uncertainty_score":0.03521669,"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."}}