{"id":"W2572908889","doi":"10.3138/jsp.48.2.99","title":"Building a Scholarly Multimedia Publishing Infrastructure","year":2017,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Digital Games and Media","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; World Wide Web; Kairos; Electronic publishing; Computer science; Vega; Multimedia; Media studies; Sociology; The Internet; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0123548,0.0006872457,0.0004869957,0.008217307,0.00632234,0.01693948,0.005828633,0.002954024,0.0161123],"category_scores_gemma":[0.02740041,0.000983529,0.0009658681,0.004411119,0.002759872,0.03245887,0.02609051,0.003464103,0.0123969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003116615,"about_ca_system_score_gemma":0.01388009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002861806,"about_ca_topic_score_gemma":0.002479502,"domain_scores_codex":[0.9920478,0.002069549,0.0006919479,0.001070906,0.002920454,0.001199204],"domain_scores_gemma":[0.9727724,0.004339683,0.001680268,0.006372618,0.008091122,0.006743941],"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":[0.0002318731,0.00117772,0.008954028,0.001164426,0.0001027303,0.001081752,0.008410207,0.005773644,0.008059566,0.3512579,0.1120058,0.5017805],"study_design_scores_gemma":[0.00006587811,0.0002206404,0.00294815,0.0008053759,0.00006094281,0.000483435,0.005327077,0.01239192,0.004169711,0.05463024,0.9187641,0.0001324499],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1045287,0.004542034,0.4124773,0.040095,0.004113235,0.002893878,0.001328997,0.04790707,0.3821137],"genre_scores_gemma":[0.4689229,0.004839374,0.4275801,0.002940763,0.003496687,0.002223405,0.00390322,0.004471782,0.08162186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9830605,"threshold_uncertainty_score":0.06533927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03380549087204533,"score_gpt":0.3125762142962443,"score_spread":0.278770723424199,"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."}}