{"id":"W2160133849","doi":"10.1093/llc/fqs013","title":"Toward modeling the social edition: An approach to understanding the electronic scholarly edition in the context of new and emerging social media","year":2012,"lang":"en","type":"article","venue":"Literary and Linguistic Computing","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"","keywords":"Social media; Context (archaeology); Computer science; Data science; Sociology; World Wide Web; History","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007880922,0.001407626,0.0007723612,0.004809305,0.004267669,0.01712551,0.004347904,0.004360411,0.005499162],"category_scores_gemma":[0.01472706,0.001141873,0.002027873,0.004780525,0.01661478,0.02170805,0.009557372,0.004886324,0.00123809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004277136,"about_ca_system_score_gemma":0.00630385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01155286,"about_ca_topic_score_gemma":0.01361411,"domain_scores_codex":[0.9947597,0.003920326,0.0002031369,0.0004910632,0.0004519151,0.0001738514],"domain_scores_gemma":[0.9884228,0.008423301,0.0007255463,0.001270782,0.0005948868,0.0005625504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001260368,0.00004354903,0.001065607,0.0001056309,0.00001473533,0.0002920858,0.01917744,0.01347526,0.0002905348,0.9583992,0.0009923739,0.006130879],"study_design_scores_gemma":[0.00001429562,0.00003134576,0.000480925,0.0003140673,0.00002611678,0.0002195776,0.01471604,0.06816725,0.0004086229,0.8047621,0.1108092,0.00005037253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02220731,0.001618306,0.8811373,0.01023589,0.0003068466,0.0004001908,0.0004291415,0.0004417965,0.08322322],"genre_scores_gemma":[0.3290778,0.003172745,0.6467365,0.0009232629,0.0003928993,0.001345447,0.0007423483,0.000442006,0.01716714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9828745,"threshold_uncertainty_score":0.04167885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223700303869557,"score_gpt":0.274516027941857,"score_spread":0.1521459975549014,"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."}}