{"id":"W2980171910","doi":"10.29173/iasl7378","title":"Fiction as Information","year":2019,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information literacy; Schema (genetic algorithms); Reading (process); Metaphor; Variety (cybernetics); Object (grammar); Computer science; Information source (mathematics); Construct (python library); Sociology; Psychology; World Wide Web; Linguistics; Artificial intelligence; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001459449,0.0004234032,0.0002846436,0.00272308,0.003380951,0.01007251,0.0007436958,0.002114967,0.01625807],"category_scores_gemma":[0.007297121,0.0001451122,0.0003062802,0.00232888,0.01519121,0.009543836,0.004287654,0.002139284,0.002000423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002584597,"about_ca_system_score_gemma":0.001429314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261123,"about_ca_topic_score_gemma":0.001658241,"domain_scores_codex":[0.9977126,0.001151643,0.00009013891,0.0002103907,0.0006461555,0.0001889864],"domain_scores_gemma":[0.9946724,0.003758272,0.0003867474,0.0004930095,0.0004221926,0.0002673982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001843876,0.00001979558,0.0005345016,0.0003025332,0.000005559838,0.0004105671,0.08669201,0.0001272129,0.0004452534,0.8435567,0.01699476,0.05089266],"study_design_scores_gemma":[0.000004611588,0.00003068202,0.0004804187,0.0004630766,0.00000726921,0.0009309599,0.013795,0.0001140111,0.0004022452,0.09849525,0.8852639,0.00001268152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03963057,0.01630406,0.01312954,0.01690851,0.001722391,0.0001070914,0.0002683519,0.0001871302,0.9117424],"genre_scores_gemma":[0.785154,0.01237803,0.01138514,0.005091812,0.001411391,0.0001380602,0.0004825465,0.000222635,0.1837363],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01625807,"threshold_uncertainty_score":0.05438864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479034038142778,"score_gpt":0.2234383040901066,"score_spread":0.2086479637086788,"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."}}