{"id":"W4232596241","doi":"10.1057/9780230120013","title":"Investigating Shrek","year":2011,"lang":"en","type":"book","venue":"Palgrave Macmillan US eBooks","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Variety (cybernetics); Sociology; Epistemology; Computer science; Philosophy; Artificial intelligence","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":[0.001541392,0.0003199293,0.0003267957,0.001028762,0.003723405,0.006029595,0.0008287217,0.001485417,0.009226467],"category_scores_gemma":[0.004943745,0.0002377799,0.0002988247,0.0007681696,0.01152961,0.0118313,0.00482845,0.003053722,0.0009243125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700802,"about_ca_system_score_gemma":0.001348511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443223,"about_ca_topic_score_gemma":0.003541544,"domain_scores_codex":[0.9987471,0.0006755891,0.00003031684,0.0001860858,0.000219141,0.0001416466],"domain_scores_gemma":[0.9982911,0.00112118,0.0001485299,0.0001895482,0.0001605064,0.00008914261],"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":[0.00001469515,0.00001498458,0.0004961313,0.00007987415,0.000003927795,0.0003119449,0.08835395,0.0000802759,0.0005661854,0.8891889,0.005845786,0.01504338],"study_design_scores_gemma":[0.00001842151,0.00004489827,0.001561722,0.000335805,0.00002265905,0.002030459,0.1563465,0.001083186,0.001562714,0.3536212,0.4833375,0.00003494807],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1606264,0.005207453,0.02960831,0.01237363,0.0006778179,0.0000533653,0.00008591962,0.0001747424,0.7911922],"genre_scores_gemma":[0.9276493,0.00226872,0.006152608,0.001562298,0.0001137922,0.00003456534,0.00006369834,0.0001964564,0.06195871],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009226467,"threshold_uncertainty_score":0.03086561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03602042748305571,"score_gpt":0.2737833196357974,"score_spread":0.2377628921527417,"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."}}