{"id":"W2296712682","doi":"","title":"Mining the Biomedical Literature","year":2015,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Open Text (Canada)","funders":"","keywords":"Computer science; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003115242,0.001020705,0.001127776,0.03218476,0.001779697,0.005881833,0.001981256,0.001397991,0.01012045],"category_scores_gemma":[0.02117198,0.0004564108,0.001462762,0.02214546,0.00124186,0.006253779,0.003154084,0.00132617,0.007657264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139569,"about_ca_system_score_gemma":0.004248176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00221661,"about_ca_topic_score_gemma":0.004691171,"domain_scores_codex":[0.9964259,0.0007253353,0.0005135628,0.0006768917,0.001497579,0.0001605658],"domain_scores_gemma":[0.9915029,0.004319299,0.0007984168,0.0007687381,0.002312433,0.000298287],"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":[0.0001491664,0.0001746884,0.00638645,0.006017095,0.0003326914,0.002642687,0.00215406,0.001989742,0.006723362,0.03377084,0.1288507,0.8108084],"study_design_scores_gemma":[0.00004797412,0.0001152327,0.007806832,0.003571596,0.0004264797,0.003741081,0.004542432,0.009381399,0.006847388,0.1050316,0.8584132,0.00007478633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1062955,0.1912195,0.3429964,0.0435726,0.006836609,0.002905002,0.1100843,0.005725899,0.1903641],"genre_scores_gemma":[0.1857484,0.113435,0.5169123,0.005600847,0.004019268,0.001378855,0.1275669,0.0007246012,0.04461369],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9678152,"threshold_uncertainty_score":0.03385627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144983338988021,"score_gpt":0.3230146123868077,"score_spread":0.2085162784880056,"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."}}