{"id":"W4318586221","doi":"10.1007/978-3-031-21448-6","title":"Mission AI","year":2023,"lang":"en","type":"book","venue":"Research for policy","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Harvard University","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001714203,0.0001716355,0.0004515173,0.001938664,0.0002022718,0.0001024251,0.0005183281,0.0006977357,0.0002690114],"category_scores_gemma":[0.001440034,0.0001901183,0.0001805257,0.0004973363,0.0001970887,0.00008990831,0.0002392872,0.0007955644,0.009142439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009593922,"about_ca_system_score_gemma":0.0003922902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001665706,"about_ca_topic_score_gemma":0.000008932469,"domain_scores_codex":[0.9981229,0.000009289915,0.0006079844,0.0005624038,0.00005848163,0.0006389044],"domain_scores_gemma":[0.9987909,0.0002579463,0.0002151042,0.0005003983,0.0001350015,0.0001006581],"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":[0.000004466969,0.000009654713,0.00001363555,0.00005937611,0.00001877683,8.818902e-7,0.000007026101,9.107125e-7,0.000001576969,0.5975879,0.4002343,0.002061522],"study_design_scores_gemma":[0.0001102025,0.00006187068,0.00002160087,0.00002428119,4.798065e-7,3.232775e-7,0.000001691728,0.0001661108,0.00000927286,0.5046089,0.4948953,0.0001000092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001103429,0.0005617688,0.0005453755,0.02309429,0.0002393056,0.0008533305,0.001088964,0.0002470411,0.9732596],"genre_scores_gemma":[0.002541648,0.0003831426,0.0001165652,0.0003701013,0.001244492,0.0001080624,0.0003735565,0.00009207484,0.9947703],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09466097,"threshold_uncertainty_score":0.9916291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4153797395306609,"score_gpt":0.4425613120238974,"score_spread":0.02718157249323644,"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."}}