{"id":"W7098581869","doi":"","title":"REGIONAL EM STUDIES IN THE 80's","year":2015,"lang":"en","type":"article","venue":"","topic":"Medicinal Plants and Neuroprotection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data processing; Profiling (computer programming); Broadband; Data quality; Quality (philosophy)","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":[0.001146736,0.0004016669,0.0005516296,0.001845943,0.0002676226,0.001089704,0.0006041316,0.0004977087,0.00943711],"category_scores_gemma":[0.002569448,0.0001347602,0.0005349717,0.003145374,0.0004616701,0.001137266,0.0008413398,0.000446708,0.002018184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009230905,"about_ca_system_score_gemma":0.001143879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003947967,"about_ca_topic_score_gemma":0.005629414,"domain_scores_codex":[0.9995116,0.0001409005,0.00007336611,0.00009344606,0.000118968,0.00006174936],"domain_scores_gemma":[0.9990513,0.0002369078,0.0003416416,0.00004410659,0.0002810488,0.00004498749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003380331,0.00005396854,0.01711575,0.01625405,0.0003112491,0.002483749,0.001164896,0.0004239739,0.002649203,0.006993822,0.02349104,0.9287201],"study_design_scores_gemma":[0.00003677729,0.0004934547,0.1146819,0.01074097,0.0007009938,0.01375366,0.003895859,0.0001678408,0.00340077,0.002326852,0.8497585,0.00004230349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03500698,0.9065152,0.003136737,0.002266649,0.0007932349,0.0000756683,0.001421239,0.0001065621,0.05067778],"genre_scores_gemma":[0.2510613,0.7216024,0.005475251,0.002312624,0.0008560173,0.00009753247,0.001322136,0.00005751316,0.01721526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00943711,"threshold_uncertainty_score":0.03157032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6191893490156112,"score_gpt":0.4605574673160011,"score_spread":0.1586318816996101,"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."}}