{"id":"W2397593430","doi":"","title":"A landmark in biomedical information: many ways are leading to PubMed - MediaWiki tags open remote literature access to PubMed.","year":2011,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Landmark; World Wide Web; Computer science; Information retrieval; Data science; Internet privacy; Medicine; Artificial intelligence","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":[0.01768328,0.00100815,0.001290312,0.02151944,0.003686897,0.01326831,0.002409999,0.005214454,0.07855049],"category_scores_gemma":[0.08339932,0.001072297,0.001227989,0.02199118,0.003905489,0.02839744,0.01117252,0.007289498,0.05726022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002199354,"about_ca_system_score_gemma":0.009658004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003092653,"about_ca_topic_score_gemma":0.006613282,"domain_scores_codex":[0.9893355,0.003478923,0.002401422,0.0008908307,0.003291951,0.0006013555],"domain_scores_gemma":[0.9079641,0.03818103,0.01297202,0.01593079,0.01573565,0.009216626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004218663,0.00006953367,0.001592506,0.00375924,0.0001490796,0.001063125,0.001713972,0.00007299809,0.006050978,0.06892599,0.7360741,0.1801067],"study_design_scores_gemma":[0.00003807891,0.00003514735,0.0009029639,0.0008675351,0.00005391134,0.0004146759,0.0005762445,0.00007964237,0.002026858,0.01199115,0.9829571,0.0000566928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01055553,0.03560414,0.1556848,0.4647063,0.07562111,0.0007969156,0.03243817,0.04125291,0.1833401],"genre_scores_gemma":[0.09135841,0.0339433,0.4004354,0.1157833,0.03779562,0.001311862,0.05456944,0.01962853,0.2451742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9867317,"threshold_uncertainty_score":0.2627776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04418451065106579,"score_gpt":0.2744967147514106,"score_spread":0.2303122041003448,"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."}}