{"id":"W2620270711","doi":"10.17613/m6965w","title":"Metadata Schema for Modernist Networks","year":2014,"lang":"en","type":"article","venue":"Humanities Commons CORE (Modern Language Association / Columbia University)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Computer science; World Wide Web; Schema (genetic algorithms); Information retrieval; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004524425,0.0002797131,0.0004536135,0.0002082459,0.001927829,0.002881607,0.0007066659,0.0001522616,0.001266075],"category_scores_gemma":[0.0001924495,0.0003937689,0.0003027285,0.00007783648,0.0002261769,0.001848451,0.0002140904,0.0003345766,0.00002689647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005170886,"about_ca_system_score_gemma":0.00005233552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670805,"about_ca_topic_score_gemma":0.1330291,"domain_scores_codex":[0.9981214,0.0001321986,0.0003250767,0.000423333,0.000389814,0.0006081099],"domain_scores_gemma":[0.9978964,0.0006403466,0.0003891458,0.000512086,0.0004499851,0.0001120076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000793962,0.0002123494,0.001129534,0.0000693756,0.0003502221,0.00002168601,0.020302,0.0001145395,0.00001567476,0.9392117,0.03489261,0.003600973],"study_design_scores_gemma":[0.001346931,0.0001953261,0.0002363124,0.00004918361,0.0002361052,0.000002078653,0.01762288,0.006798488,0.000007135146,0.006706424,0.9661282,0.0006708894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2336243,0.0002071418,0.00829303,0.000193326,0.001007785,0.0008612407,0.001389615,0.0007258012,0.7536978],"genre_scores_gemma":[0.6563068,0.000006081905,0.0000714117,0.0004435441,0.0005621873,0.000009708539,0.0006034579,0.00004684507,0.34195],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9325052,"threshold_uncertainty_score":0.9998514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04593369075068181,"score_gpt":0.2081315990060561,"score_spread":0.1621979082553743,"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."}}