{"id":"W6964268694","doi":"10.22008/fk2/wp1tr3/dzljcp","title":"c50an8.rtl","year":2021,"lang":"ta","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Traditional Chinese Medicine Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002850453,0.001029623,0.003138709,0.0002670473,0.0003163854,0.00003464414,0.0005054712,0.0009459933,0.005476492],"category_scores_gemma":[0.007726672,0.0006958309,0.0003313706,0.0007601043,0.001640599,0.00006954215,0.0007912937,0.001501158,0.0003530106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004891611,"about_ca_system_score_gemma":0.0003190414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004939123,"about_ca_topic_score_gemma":0.004291311,"domain_scores_codex":[0.9936036,0.001467128,0.00142958,0.001369413,0.001215754,0.0009145287],"domain_scores_gemma":[0.9924358,0.004512297,0.0005828044,0.001001489,0.0008088787,0.0006587782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008077426,0.0005464852,0.507753,0.001045417,0.0007280304,0.0007888124,0.0000350837,0.00000121663,0.000008117236,0.00001949415,0.4860866,0.002180095],"study_design_scores_gemma":[0.002841248,0.001447371,0.8730423,0.0007457499,0.0008274229,0.0003605674,0.00006853309,0.00001830158,0.000004779293,0.0003062317,0.1197313,0.0006061941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2416842,0.04513462,0.00004765734,0.001989457,0.00138799,0.0007309379,0.7077726,0.00003362642,0.001218953],"genre_scores_gemma":[0.2863243,0.01553723,0.0001935166,0.0009170887,0.001439778,0.00003791304,0.6939839,0.00003857011,0.001527761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3663553,"threshold_uncertainty_score":0.9995493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05288114608221533,"score_gpt":0.2941096719231845,"score_spread":0.2412285258409692,"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."}}