{"id":"W4211014620","doi":"10.1017/9781108164085.019","title":"References","year":2017,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Transformational leadership; Appeal; Artificial intelligence; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006179797,0.0008141878,0.0007855499,0.0045524,0.001877385,0.004787095,0.001773198,0.001878095,0.5181887],"category_scores_gemma":[0.004420583,0.0003209634,0.0006739428,0.005283582,0.0006518373,0.004263063,0.002074686,0.002215076,0.4372946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002747457,"about_ca_system_score_gemma":0.002184072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006489831,"about_ca_topic_score_gemma":0.01037344,"domain_scores_codex":[0.9990564,0.00009934961,0.00005904226,0.0001416553,0.000573878,0.00006963118],"domain_scores_gemma":[0.9986009,0.0002514843,0.00005759254,0.0001593896,0.0007844556,0.0001460957],"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":[0.000007672848,0.00001744254,0.00006657084,0.0001809671,0.000001931694,0.00004767227,0.0000967149,0.00006597082,0.00007760847,0.0137844,0.9235601,0.06209294],"study_design_scores_gemma":[7.90167e-7,0.000001487868,0.00005768512,0.0001290807,6.655085e-7,0.00003948415,0.00003587805,0.000009012186,0.00001984331,0.001757103,0.997947,0.000001938243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003029385,0.01682103,0.002087012,0.006559166,0.009724573,0.000119598,0.005332061,0.0006888784,0.9583648],"genre_scores_gemma":[0.001926112,0.01125736,0.002215993,0.002417563,0.001411625,0.00006923244,0.007259716,0.0006084683,0.9728338],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4818113,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04167504139755449,"score_gpt":0.2116641450633984,"score_spread":0.1699891036658439,"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."}}