{"id":"W2995276428","doi":"10.7202/1065075ar","title":"ADAPTING WEB ELECTRONIC LIBRARIES TO ENGLISH STUDIES","year":2019,"lang":"en","type":"article","venue":"Surfaces","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"World Wide Web; Computer science; Library science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.008837847,0.0003637749,0.000391705,0.003613259,0.005056241,0.01959416,0.002517649,0.001645225,0.01501179],"category_scores_gemma":[0.01885633,0.0005402963,0.0004597926,0.005476568,0.004382661,0.009180534,0.01570165,0.0013389,0.003110413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0125555,"about_ca_system_score_gemma":0.01290326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04947997,"about_ca_topic_score_gemma":0.1151514,"domain_scores_codex":[0.9910893,0.006051908,0.0003725315,0.0003886991,0.00101117,0.001086338],"domain_scores_gemma":[0.9868134,0.005962875,0.0005277122,0.002198288,0.001813203,0.002684452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004047043,0.001855679,0.02384361,0.0008093037,0.00009053741,0.001976294,0.1061038,0.00381747,0.001731197,0.2494279,0.07172236,0.5382172],"study_design_scores_gemma":[0.0002146473,0.0002642417,0.01233228,0.0009270793,0.0000709075,0.0002357772,0.1585243,0.002743238,0.001661604,0.05037464,0.7725648,0.00008660222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2955895,0.003109981,0.0260008,0.03890351,0.001120058,0.000980051,0.0003924365,0.001678757,0.6322249],"genre_scores_gemma":[0.8853304,0.002964247,0.02356273,0.004893916,0.0004707793,0.0006235499,0.0003988497,0.0005142307,0.0812411],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04947997,"threshold_uncertainty_score":0.0983839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216179218853145,"score_gpt":0.2879264954796104,"score_spread":0.2657647032910789,"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."}}