{"id":"W1582069231","doi":"10.22230/src.2014v5n4a190","title":"Interdisciplinary, Interactive, and Online: Building open communication through multimodal scholarly articles and monographs","year":2014,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Scholarship; Realm; Scholarly communication; Affordance; Digital scholarship; Digital humanities; Sociology; Engineering ethics; Publishing; Social science; Political science; World Wide Web; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02325019,0.0008978632,0.0005039248,0.006550482,0.007441072,0.01827305,0.002796726,0.002865444,0.0171042],"category_scores_gemma":[0.08266915,0.0007792193,0.0008566811,0.003275883,0.01235702,0.03761718,0.0308517,0.002169577,0.004120362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732209,"about_ca_system_score_gemma":0.003281761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008686528,"about_ca_topic_score_gemma":0.001182564,"domain_scores_codex":[0.9783708,0.01709095,0.000641007,0.001149673,0.002132483,0.000615143],"domain_scores_gemma":[0.9044719,0.0729058,0.003224332,0.01155636,0.003865813,0.003975843],"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":[0.0002809415,0.000458452,0.009288263,0.001051759,0.0000973184,0.001363342,0.3134939,0.003386344,0.006012849,0.2135059,0.0215755,0.4294854],"study_design_scores_gemma":[0.000135491,0.0003425194,0.004163483,0.00190909,0.0001635108,0.0007300164,0.1090152,0.01183266,0.004668499,0.4309617,0.4358253,0.0002525621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.245864,0.003739564,0.4102122,0.02863177,0.001141041,0.0008244896,0.0005855394,0.005334449,0.303667],"genre_scores_gemma":[0.8141709,0.001767598,0.154797,0.001620348,0.0006809054,0.001048983,0.0005307121,0.001216632,0.02416695],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9817269,"threshold_uncertainty_score":0.1229602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1552909465284056,"score_gpt":0.401253563798906,"score_spread":0.2459626172705004,"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."}}