{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009850205,0.0008345521,0.000455108,0.001389946,0.00152945,0.007442276,0.001376892,0.001521261,0.3610712],"category_scores_gemma":[0.002856379,0.0004341324,0.0004269711,0.001276482,0.0008123008,0.005196763,0.003521547,0.002226817,0.2873373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902806,"about_ca_system_score_gemma":0.002669684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003311784,"about_ca_topic_score_gemma":0.005632834,"domain_scores_codex":[0.9992151,0.0001225563,0.00003553479,0.00009794623,0.0004429765,0.00008588982],"domain_scores_gemma":[0.9987535,0.0002513856,0.00004904654,0.0002033795,0.0004841574,0.0002584804],"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":[0.00001299939,0.00001467365,0.00005415055,0.0001079126,0.000001775836,0.00002203856,0.0000988122,0.000138553,0.0001856199,0.04609136,0.8637134,0.08955876],"study_design_scores_gemma":[0.000001029023,0.000002048207,0.00002857283,0.00002836437,4.230364e-7,0.000026438,0.00002627547,0.00007812586,0.00003883611,0.003273958,0.9964941,0.00000185719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001577144,0.001404948,0.004702211,0.003373259,0.001098878,0.00005510548,0.0008598801,0.001522442,0.9868255],"genre_scores_gemma":[0.0020892,0.001571446,0.00317804,0.001264688,0.0003276057,0.0000559885,0.00121233,0.0006313983,0.9896693],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3610712,"threshold_uncertainty_score":0,"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."}}