{"id":"W2769345610","doi":"10.1111/lic3.12429","title":"(Re)Presenting Charlotte Brontë: Trying to know her two hundred years later","year":2017,"lang":"en","type":"article","venue":"Literature Compass","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Feeling; Morse code; Variety (cybernetics); Scholarship; Literature; Psychology; Aesthetics; Art; History; Computer science; Social psychology; Artificial intelligence; Law","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":[0.002057045,0.0007453812,0.0006418527,0.001303358,0.01004495,0.007899567,0.00100002,0.004645242,0.036758],"category_scores_gemma":[0.009578018,0.0003907176,0.0004714586,0.0008123407,0.005223387,0.004911549,0.004340579,0.01075861,0.01229461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004749034,"about_ca_system_score_gemma":0.00455027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01594797,"about_ca_topic_score_gemma":0.05228632,"domain_scores_codex":[0.998304,0.0006481362,0.00006230993,0.0002340842,0.0005233492,0.0002280464],"domain_scores_gemma":[0.9967898,0.0007506327,0.0002021933,0.0001400469,0.001011728,0.00110561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002633671,0.00001535867,0.0002440208,0.00009220175,0.000004793554,0.0006204435,0.007705347,0.00001241057,0.0002104365,0.008123518,0.967524,0.01542111],"study_design_scores_gemma":[0.000001527528,0.000005818617,0.0001331511,0.0001468509,0.000002112156,0.0006738122,0.00385126,0.000007642967,0.00006843964,0.0004896997,0.9946123,0.000007357962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005072328,0.05305215,0.001228752,0.6011092,0.2480586,0.00004665166,0.0001323203,0.0001871993,0.09111275],"genre_scores_gemma":[0.06529468,0.03006349,0.001378816,0.1567038,0.0655602,0.000113336,0.0001150293,0.0006248059,0.6801458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.036758,"threshold_uncertainty_score":0.1229678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211879100970644,"score_gpt":0.3024679195624774,"score_spread":0.2703491285527709,"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."}}