{"id":"W2970205171","doi":"","title":"TAC SRIE 2018: Extracting Systematic Review Information with MedaCy.","year":2018,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005122554,0.00007427669,0.0001595385,0.00002093827,0.00009825703,0.00001215346,0.0001115379,0.00005496101,0.0000102948],"category_scores_gemma":[0.0002231769,0.0000502555,0.00001871843,0.00008847228,0.0004441954,0.00001011972,0.00003528113,0.00003642507,0.000008360709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002090699,"about_ca_system_score_gemma":0.0000288942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002798673,"about_ca_topic_score_gemma":0.000002115545,"domain_scores_codex":[0.9994929,0.00005455418,0.0002108999,0.00009029675,0.00006992559,0.00008143302],"domain_scores_gemma":[0.9993763,0.0000607079,0.0001652622,0.0002503736,0.0001156932,0.00003163692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007234071,0.00023494,0.0005120129,0.2200562,0.0006646831,8.341747e-7,0.002587916,0.000001904974,0.02460602,0.6325796,0.006546765,0.1114857],"study_design_scores_gemma":[0.002531807,0.004026853,0.001022084,0.03502681,0.002388816,0.0004726333,0.02423776,0.00003650074,0.3950746,0.1084641,0.4244996,0.002218438],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1075469,0.1234394,0.731876,0.001755537,0.0001675161,0.004289901,0.00009521069,0.0002137738,0.03061578],"genre_scores_gemma":[0.9959053,0.001818173,0.001211185,0.0003431164,0.00008498499,0.0002498789,0.00006732812,0.000005745248,0.0003142548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8883584,"threshold_uncertainty_score":0.204936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006880278853483287,"score_gpt":0.2608429318200521,"score_spread":0.2539626529665688,"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."}}