{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005409719,0.001038526,0.0006991343,0.00158895,0.001094284,0.007086443,0.001090627,0.001663102,0.07903514],"category_scores_gemma":[0.002073916,0.0003995445,0.0005162359,0.002028119,0.002056909,0.004581828,0.00253944,0.003213851,0.05245742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852945,"about_ca_system_score_gemma":0.001860317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009506064,"about_ca_topic_score_gemma":0.00166251,"domain_scores_codex":[0.9990068,0.0001508554,0.0000536754,0.0001821815,0.0005522065,0.0000541918],"domain_scores_gemma":[0.9993845,0.0002029694,0.00003030623,0.0001576333,0.0001550372,0.0000696413],"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":[0.00001554127,0.00002909322,0.0001958262,0.0005312655,0.00002362521,0.00008791587,0.0003325249,0.0004368096,0.000438122,0.286483,0.4869635,0.2244629],"study_design_scores_gemma":[0.000001647792,0.000004405089,0.0001138753,0.000182237,0.000002210308,0.00008809498,0.00003748098,0.0001173203,0.00007188663,0.04096409,0.9584132,0.000003566955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005048775,0.04344187,0.008863442,0.005882986,0.003770557,0.00006903846,0.0004291553,0.0004427636,0.9365953],"genre_scores_gemma":[0.01322659,0.04262733,0.01107904,0.00487903,0.002536713,0.0001641041,0.001277303,0.0003799075,0.9238299],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07903514,"threshold_uncertainty_score":0.2643989,"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."}}