{"id":"W4390538460","doi":"10.1007/978-3-031-49226-6","title":"Bernard Shaw, Automata, Robots, and Artificial Intelligence","year":2024,"lang":"en","type":"book","venue":"Bernard Shaw and his contemporaries","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada); University of Toronto","funders":"King's College London; Social Sciences and Humanities Research Council of Canada; University of Cambridge; York University","keywords":"Automaton; Robot; Artificial intelligence; Computer science; Cognitive science; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005993679,0.0008844964,0.0007371334,0.001377802,0.001412276,0.002573475,0.0006340977,0.001837977,0.007004721],"category_scores_gemma":[0.002240494,0.0005782854,0.0002376448,0.001831139,0.0028512,0.00411284,0.0007905347,0.002793793,0.003948663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624784,"about_ca_system_score_gemma":0.001160079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007429533,"about_ca_topic_score_gemma":0.00995873,"domain_scores_codex":[0.9996424,0.00008080855,0.00001759254,0.00007174893,0.0001680307,0.00001944355],"domain_scores_gemma":[0.9993569,0.0004045004,0.00002515023,0.00002187836,0.0001453669,0.0000462741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004341381,0.00002638187,0.0002007872,0.000259701,0.000009645878,0.00005735362,0.0003990647,0.0013524,0.0003400805,0.4343812,0.4823194,0.0806106],"study_design_scores_gemma":[0.00000908624,0.000009666121,0.0001284391,0.0001380472,0.000004201589,0.0001178478,0.0001468777,0.0009386639,0.0002361617,0.2164508,0.7818073,0.00001291877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.001930261,0.7005734,0.02020826,0.06540239,0.01242858,0.00003238499,0.0002198977,0.0002099159,0.198995],"genre_scores_gemma":[0.07026716,0.4032877,0.01623155,0.01183485,0.009467756,0.0001233519,0.0002598911,0.0001987678,0.4883289],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007429533,"threshold_uncertainty_score":0.02343309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03059536261695837,"score_gpt":0.2467209187449959,"score_spread":0.2161255561280376,"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."}}