{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003802115,0.00005105836,0.0001052173,0.00004390256,0.00002106086,0.000003885481,0.00003752733,0.00002131467,0.00003628404],"category_scores_gemma":[0.0002285034,0.0000236997,0.00001709128,0.0001055107,0.00004141414,0.00002304623,0.00001023277,0.0001324787,0.00009070432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001910489,"about_ca_system_score_gemma":0.00002495451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005290314,"about_ca_topic_score_gemma":0.0001668249,"domain_scores_codex":[0.999431,0.00004059877,0.00009834972,0.00008996835,0.000254457,0.00008563122],"domain_scores_gemma":[0.9997087,0.00005788428,0.0000180905,0.000119769,0.00004971468,0.00004584034],"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":[0.001018484,0.0003423478,0.005761848,0.0001386554,0.00008839196,0.0005908142,0.02668727,0.000005760943,0.002939054,0.002853662,0.9458395,0.01373426],"study_design_scores_gemma":[0.004350032,0.001534659,0.03136175,0.000335929,0.00009300117,0.003561982,0.04315503,0.0001063895,0.0006930685,0.002551359,0.9120514,0.0002053905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690281,0.0006043107,0.00004100263,0.009646874,0.0002099322,0.0002340488,2.780479e-7,0.00002605343,0.02020939],"genre_scores_gemma":[0.9873344,0.00009416149,0.0001279265,0.006067917,0.000294838,0.00001212431,0.000003201271,0.000004172348,0.006061219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03378804,"threshold_uncertainty_score":0.1165851,"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."}}