{"id":"W2365753581","doi":"","title":"Reports of Fine Gyaca County Walnut Resources in Tibet","year":2010,"lang":"en","type":"article","venue":"Northern Horticulture","topic":"Nuts composition and effects","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Germplasm; Geography; Juglans; Distribution (mathematics); China; Sampling (signal processing); Elevation (ballistics); Horticulture; Biology; Archaeology; Mathematics; Engineering","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":[0.0001688101,0.0001596176,0.0001300602,0.002708703,0.0009100743,0.0004546996,0.0002136943,0.00007773763,0.003736359],"category_scores_gemma":[0.0004025917,0.0000969238,0.00007787252,0.0033276,0.0001817457,0.0001364898,0.0004209607,0.0001062205,0.000205263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008385945,"about_ca_system_score_gemma":0.0008867891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2062333,"about_ca_topic_score_gemma":0.6430256,"domain_scores_codex":[0.9998909,0.00001009133,0.00001381093,0.00001843438,0.00003136694,0.00003537185],"domain_scores_gemma":[0.9994754,0.00004980398,0.0001505118,0.00001891117,0.0001313096,0.0001741536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009166251,0.00001431208,0.9697165,0.0001927151,0.0000302234,0.001186418,0.006058046,0.00005236768,0.004646307,0.0002643807,0.002019697,0.01572723],"study_design_scores_gemma":[7.862949e-7,0.000007197212,0.9959201,0.00001063525,0.000003762546,0.0001099361,0.001425845,0.00001036572,0.00008384758,0.000008867221,0.002416831,0.000001793983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943967,0.0003447856,0.00003605318,0.00002612138,0.000006657544,0.000006982411,0.002105895,0.000005681437,0.003071116],"genre_scores_gemma":[0.9920498,0.0004147052,0.0001487874,0.00002213701,0.000008306401,0.00001177281,0.003602117,0.00000440877,0.003738023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2062333,"threshold_uncertainty_score":0.4100658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003447013371436272,"score_gpt":0.2215799891189109,"score_spread":0.2181329757474746,"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."}}