{"id":"W7058526959","doi":"","title":"Mining the Digital Information Networks, 17th International Conference on Electronic Publishing","year":2013,"lang":"en","type":"other","venue":"Elpub digital library","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Electronic publishing; Theme (computing); Digital library; Reuse; Big data; Process (computing); Metadata; Scholarly communication","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009376787,0.001263901,0.001657527,0.01025255,0.002222915,0.01847348,0.002208118,0.002837886,0.03164605],"category_scores_gemma":[0.02948147,0.001082262,0.001718089,0.01385714,0.003253221,0.02024926,0.003990318,0.00351363,0.01083097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004134086,"about_ca_system_score_gemma":0.005001456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004294871,"about_ca_topic_score_gemma":0.004458049,"domain_scores_codex":[0.9917331,0.002114621,0.001063438,0.001731104,0.002957192,0.000400507],"domain_scores_gemma":[0.9856177,0.006073603,0.0008267433,0.002987072,0.003248319,0.001246681],"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":[0.00009854729,0.0001268367,0.002936488,0.0008990079,0.0001430474,0.0001972263,0.0004305329,0.00270253,0.0006638035,0.1006667,0.3921766,0.4989588],"study_design_scores_gemma":[0.00001209042,0.0000442566,0.003580353,0.001030275,0.00004998032,0.0003107189,0.0005443525,0.005807492,0.0008839906,0.08210635,0.9055812,0.00004886781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01826942,0.350089,0.1980387,0.1148131,0.05582247,0.001045267,0.01570135,0.005678694,0.240542],"genre_scores_gemma":[0.1485664,0.2640448,0.245392,0.006924602,0.02084375,0.001266929,0.03544279,0.00273413,0.2747846],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03164605,"threshold_uncertainty_score":0.1058666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008711749336595912,"score_gpt":0.2056715843041491,"score_spread":0.1969598349675532,"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."}}