{"id":"W2937260756","doi":"10.3968/10877","title":"Austen and Dickens’s Different Views on Their Female Characters and on Women in Nineteenth Century","year":2019,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Migration, Policy, and Dickens Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conformity; Literature; Extension (predicate logic); Character (mathematics); Focus (optics); History; Sociology; Art; Psychology; Social psychology; Computer science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002886322,0.000166051,0.0003182906,0.0001265347,0.0001590069,0.00006314101,0.00004999596,0.00006769522,0.000009072478],"category_scores_gemma":[0.00009926753,0.0001067942,0.00001973219,0.0001376772,0.0001942751,0.00008685901,0.00006563467,0.0001576803,0.000001998339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006564357,"about_ca_system_score_gemma":0.00000684679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001463154,"about_ca_topic_score_gemma":0.0027215,"domain_scores_codex":[0.9990224,0.0001328527,0.0001447216,0.0002646257,0.0001204189,0.0003150256],"domain_scores_gemma":[0.9995809,0.0001834062,0.00004549917,0.0001065803,0.000017977,0.00006560366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000502506,0.00004152387,0.07342705,0.00009030649,0.00002872148,0.000009603561,0.9211701,1.091302e-7,0.00005035533,0.002976751,0.0004394452,0.001715824],"study_design_scores_gemma":[0.000992985,0.0002941153,0.5970119,0.0006030209,0.000007894896,0.000001060306,0.3809533,0.000001927803,0.00002082797,0.0004135447,0.01943045,0.0002689831],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614606,0.03150394,1.590903e-8,0.0005562623,0.000188336,0.0002799084,0.00002181243,0.00001339351,0.005975664],"genre_scores_gemma":[0.9761548,0.02081699,0.000002725411,0.0008196869,0.0001778065,0.00003133309,0.000006020976,0.000006142991,0.001984492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5402168,"threshold_uncertainty_score":0.4354941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283099595453827,"score_gpt":0.3259181194122883,"score_spread":0.3030871234577501,"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."}}