{"id":"W4211108110","doi":"10.1017/9781108164085","title":"Artificial Intelligence","year":2017,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Transformational leadership; Artificial intelligence; Appeal; Space (punctuation); Comprehension; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001865551,0.0003214428,0.0003443994,0.0001693095,0.0005414392,0.0003485593,0.003385455,0.0002911416,0.000001694184],"category_scores_gemma":[0.00003236037,0.0003713817,0.000204468,0.00001119993,0.0002180235,0.0001997548,0.001316597,0.000787331,0.0000844039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584031,"about_ca_system_score_gemma":0.0003914827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001283264,"about_ca_topic_score_gemma":0.000001179658,"domain_scores_codex":[0.9983683,0.0000819425,0.0001722923,0.0007040038,0.0003281269,0.0003453498],"domain_scores_gemma":[0.9977723,0.00007942491,0.0003249625,0.00152015,0.0001202691,0.0001829085],"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":[0.000006315823,0.000008298506,2.861264e-7,0.00003077957,0.00003390071,0.000374043,0.00004491827,0.00001157202,0.000002846196,0.8487894,0.05907075,0.0916269],"study_design_scores_gemma":[0.00004040006,0.00004561006,0.000004085525,0.000105284,0.00003477831,0.00002000405,0.000004128593,0.0117877,0.0002111703,0.0002141251,0.9870959,0.000436819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000242035,0.00004865878,0.2278405,0.00004903766,0.0006460005,0.0001357461,0.0000261352,0.0002635925,0.7709879],"genre_scores_gemma":[0.000142505,0.00002202568,0.00287935,0.00004418346,0.0003911071,4.390733e-7,0.00001779687,0.00002101697,0.9964816],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9280251,"threshold_uncertainty_score":0.9998738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170559268435974,"score_gpt":0.2357374996826926,"score_spread":0.2040319069983329,"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."}}