{"id":"W4390545141","doi":"10.1007/978-3-031-49226-6_6","title":"The Way Forward: Shaw and Artificial Intelligence","year":2024,"lang":"en","type":"book-chapter","venue":"Bernard Shaw and his contemporaries","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Automaton; Robot; Artificial intelligence; History; Computer science","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":[0.001338059,0.0004411385,0.0003705687,0.0008807712,0.002727533,0.004839057,0.0004576763,0.002206178,0.00393131],"category_scores_gemma":[0.003452621,0.000247625,0.000182111,0.0009676702,0.01459746,0.006318746,0.001422159,0.003893511,0.001037944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002687688,"about_ca_system_score_gemma":0.002533003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007313325,"about_ca_topic_score_gemma":0.01014736,"domain_scores_codex":[0.9990739,0.0006644266,0.00001549282,0.0000526946,0.0001343548,0.00005917351],"domain_scores_gemma":[0.9988846,0.0007110711,0.00004887088,0.00008680586,0.0001724555,0.00009630467],"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":[0.000005981326,0.000003448361,0.00002813527,0.00001151813,0.000001410155,0.00001282432,0.0007989592,0.0001159622,0.00001641989,0.978848,0.01560208,0.004555153],"study_design_scores_gemma":[0.00000384824,0.000004956005,0.00003556064,0.00004178889,0.000001327307,0.00003194543,0.0006930777,0.0001886877,0.00005458419,0.8091894,0.1897493,0.000005641328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00695121,0.07537056,0.01355451,0.1062858,0.003607884,0.00002555315,0.00006096111,0.00007368834,0.7940698],"genre_scores_gemma":[0.5521814,0.03505203,0.01175215,0.0207636,0.002930868,0.0001208963,0.00006259319,0.0002263995,0.37691],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007313325,"threshold_uncertainty_score":0.01950067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07265443666060367,"score_gpt":0.3256589966628459,"score_spread":0.2530045600022423,"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."}}