{"id":"W4398838845","doi":"10.7910/dvn/zmvanc/vi3xqf","title":"SyllabiMLAGoodreads.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":[0.0008291517,0.00120509,0.001112964,0.008656322,0.0007897012,0.002718928,0.001697372,0.001156784,0.09641653],"category_scores_gemma":[0.007254992,0.0007087442,0.0008774821,0.01143499,0.0003329247,0.001416149,0.001950782,0.00140727,0.1040158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00208277,"about_ca_system_score_gemma":0.00307455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06532574,"about_ca_topic_score_gemma":0.1340963,"domain_scores_codex":[0.9990362,0.00008638913,0.0001418054,0.0002674319,0.0002812537,0.0001868625],"domain_scores_gemma":[0.995475,0.001011931,0.0007312011,0.0005472773,0.001660195,0.0005744049],"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":[0.00005180864,0.00001650655,0.001816154,0.001020815,0.00002276716,0.00001033605,0.00004084015,0.0001033072,0.0000957814,0.0004410306,0.9927269,0.00365367],"study_design_scores_gemma":[0.0001155141,0.00001615559,0.02044519,0.0005775137,0.00003073377,0.00005328572,0.0001755183,0.0002708593,0.0003022497,0.0005552452,0.9774312,0.00002651752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001791448,0.00006146578,0.00001203615,0.00002659618,0.00001121879,0.000004018981,0.999068,0.00006204547,0.0005755599],"genre_scores_gemma":[0.0005990286,0.00006132356,0.00009471874,0.00002500606,0.000007308405,0.00002945529,0.997772,0.00003767346,0.001373524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09641653,"threshold_uncertainty_score":0.3225454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0481371879098981,"score_gpt":0.2273023349932883,"score_spread":0.1791651470833902,"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."}}