{"id":"W3089133376","doi":"","title":"Relational Speculation: Rereading Inheritance in Victorian Fiction","year":2018,"lang":"","type":"dissertation","venue":"TSpace","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Speculation; Inheritance (genetic algorithm); Genealogy; Literature; Victorian literature; History; Art; Business; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004354136,0.0004380539,0.0004418236,0.0003717136,0.0009140448,0.0004200579,0.0001706393,0.0003935315,0.01866737],"category_scores_gemma":[0.000119583,0.0005089227,0.0001612106,0.0002490139,0.0001655261,0.000508048,0.00002966405,0.0005662467,0.0006217246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004853058,"about_ca_system_score_gemma":0.0002251831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008361349,"about_ca_topic_score_gemma":0.04760718,"domain_scores_codex":[0.9975065,0.0001508406,0.0007518452,0.0006457398,0.0005363576,0.0004087437],"domain_scores_gemma":[0.998414,0.00008648901,0.000534195,0.0003111601,0.0005505661,0.0001036168],"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":[0.0004034864,0.0003571157,0.01176501,0.00041044,0.0001891823,0.00003409171,0.2998431,0.0001065689,0.001264678,0.6743959,0.01035937,0.0008710367],"study_design_scores_gemma":[0.0007839251,0.0001943821,0.1007926,0.001043662,0.00008240113,0.000002315915,0.01897583,0.00160144,0.00033221,0.00491367,0.8703986,0.0008790278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6179879,0.0003359031,0.00003075271,0.0003007265,0.005417103,0.0004464869,0.00002091789,0.00004020666,0.37542],"genre_scores_gemma":[0.8399855,0.0002052146,0.0001241695,0.00003639294,0.003509636,0.000035506,0.0006353913,0.00005673725,0.1554114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8600392,"threshold_uncertainty_score":0.9997362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05493042881652466,"score_gpt":0.3168009922625784,"score_spread":0.2618705634460537,"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."}}