{"id":"W4245466116","doi":"10.5206/tba.v2i1.10647","title":"Same Old Story: Predictive Algorithms and the Novel","year":2020,"lang":"en","type":"article","venue":"tba Journal of Art Media and Visual Culture","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storytelling; Predictive analytics; Narrative; Context (archaeology); Relation (database); Big data; Computer science; Data science; Action (physics); Epistemology; History; Literature; Data mining; Art","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":[0.007240537,0.000848573,0.000610608,0.001761852,0.005479955,0.01563717,0.002182303,0.005017295,0.006746358],"category_scores_gemma":[0.02925088,0.0003797935,0.0008550476,0.002052099,0.02373989,0.02544373,0.003227293,0.009203264,0.002026413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004015174,"about_ca_system_score_gemma":0.001957209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721284,"about_ca_topic_score_gemma":0.001090005,"domain_scores_codex":[0.9939341,0.003854602,0.0001634941,0.0007695692,0.0009917008,0.0002865155],"domain_scores_gemma":[0.9843675,0.01254694,0.0004986075,0.001317127,0.0008318664,0.0004379345],"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":[0.00001774695,0.00001120348,0.0001185483,0.00004543241,0.000007459182,0.0001297331,0.003030783,0.0004101365,0.00003862036,0.9625034,0.02497899,0.008707849],"study_design_scores_gemma":[0.00001047648,0.00001382433,0.0001442199,0.0001643569,0.000006631671,0.0004826395,0.003290842,0.003636214,0.0001690518,0.703437,0.2886182,0.00002655289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01866296,0.02180457,0.1167708,0.473063,0.01307942,0.0000868365,0.0007087737,0.0005141812,0.3553095],"genre_scores_gemma":[0.8078245,0.01659335,0.03905581,0.03837509,0.01660453,0.0002811011,0.0006995415,0.0007502702,0.07981577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01563717,"threshold_uncertainty_score":0.03829205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339698180176577,"score_gpt":0.2453255290240317,"score_spread":0.221928547222266,"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."}}