{"id":"W4236506433","doi":"10.1111/hdi.12478","title":"ISSUE INFORMATION","year":2017,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Medicine; Internet privacy; Information retrieval; World Wide Web; Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01199999,0.001868186,0.008200598,0.03320828,0.001162625,0.007347033,0.003427947,0.004562851,0.5320514],"category_scores_gemma":[0.08787,0.001530186,0.006095545,0.0210023,0.001007095,0.005461113,0.005193533,0.002356748,0.06004855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003854715,"about_ca_system_score_gemma":0.01494282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003777934,"about_ca_topic_score_gemma":0.009165066,"domain_scores_codex":[0.9840365,0.003731292,0.007852787,0.001150238,0.002692775,0.0005363513],"domain_scores_gemma":[0.9290199,0.0374516,0.01516864,0.002258571,0.01400805,0.002093234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004598027,0.00005383896,0.0004662476,0.5572459,0.0007424676,0.00007713488,0.0001978249,0.00007200211,0.0001835306,0.00237455,0.3445794,0.09354733],"study_design_scores_gemma":[0.001781211,0.0001645427,0.002487237,0.3125036,0.002005702,0.0001386154,0.0002625051,0.00008159605,0.0001393071,0.005932057,0.6744338,0.00006983621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001403237,0.2040147,0.002791136,0.02825077,0.02689736,0.03081685,0.6123264,0.001381369,0.09211817],"genre_scores_gemma":[0.02013402,0.3870013,0.0184047,0.06573911,0.02439454,0.07913276,0.2307079,0.001364773,0.1731209],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4679486,"threshold_uncertainty_score":0.6674718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954558674004179,"score_gpt":0.289035879437797,"score_spread":0.2694902926977552,"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."}}