{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001188188,0.002589666,0.002115686,0.004717326,0.0009039169,0.003218791,0.003508578,0.002962695,0.2080925],"category_scores_gemma":[0.008145301,0.0009817198,0.001617747,0.008545927,0.0005185241,0.001555952,0.00203945,0.001811992,0.2552911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305084,"about_ca_system_score_gemma":0.002464773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02892245,"about_ca_topic_score_gemma":0.04149289,"domain_scores_codex":[0.9989539,0.000201892,0.0001175987,0.0003466121,0.0001827067,0.0001971811],"domain_scores_gemma":[0.9975203,0.0008530049,0.0002510876,0.0005976935,0.0004882395,0.0002896402],"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":[0.00003898123,0.00001089147,0.000348219,0.0004811362,0.00002498925,0.000008385557,0.00001013795,0.0001863995,0.00003967027,0.0002395499,0.9975363,0.001075322],"study_design_scores_gemma":[0.0004561811,0.00002396507,0.002626849,0.0003955997,0.00004309544,0.00003772954,0.0000563804,0.000527152,0.0001949777,0.001324569,0.9942821,0.00003147933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002700945,0.00002558989,0.00002222879,0.00002631695,0.00001117646,0.000003574553,0.9993951,0.0002265186,0.0002624363],"genre_scores_gemma":[0.0001934481,0.00003548291,0.0001254294,0.00003818592,0.000007362092,0.00004288862,0.999037,0.00009901322,0.0004212613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7919075,"threshold_uncertainty_score":0,"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."}}