{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000165214,0.0001448788,0.0003425007,0.00008583961,0.0004802306,0.0003268814,0.0002655236,0.0000686631,0.0001100443],"category_scores_gemma":[0.000153756,0.0001257209,0.0001220765,0.000132597,0.00006360443,0.0001350066,0.0001951735,0.0002763947,0.0002884776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005591346,"about_ca_system_score_gemma":0.00001291597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002380172,"about_ca_topic_score_gemma":0.00004132227,"domain_scores_codex":[0.9987273,0.00002831964,0.000202685,0.0003853447,0.0002967863,0.0003595403],"domain_scores_gemma":[0.9988765,0.00003296607,0.00007806564,0.0006750964,0.0001255299,0.0002119009],"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":[0.0002858956,0.000318208,0.08265199,0.0002743692,0.0002809018,0.001107144,0.03446465,0.000008323521,0.03479744,0.0006742546,0.811816,0.03332088],"study_design_scores_gemma":[0.001022957,0.00004240593,0.206792,0.0004025526,0.00004120871,0.00001369139,0.00007608766,0.0001491528,0.0006191077,0.00007116122,0.790557,0.0002126066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168888,0.003129809,0.0001134275,0.01545855,0.005039487,0.0005526144,0.00003246312,0.0001841286,0.05860075],"genre_scores_gemma":[0.9377531,0.000007981531,0.0008396939,0.0008482658,0.0008731925,0.00001700387,0.00001415661,0.00001899312,0.05962763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.12414,"threshold_uncertainty_score":0.5126749,"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."}}