{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001904265,0.0001452216,0.0002308813,0.00006070254,0.00005827463,0.00002543726,0.0001046504,0.0001755304,0.0001025642],"category_scores_gemma":[0.00009437328,0.0001097895,0.00007427386,0.000212713,0.00006151983,0.00008145488,0.00002474492,0.0004011494,0.00001800329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002813253,"about_ca_system_score_gemma":0.00001031236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002731819,"about_ca_topic_score_gemma":0.01266839,"domain_scores_codex":[0.9988838,0.00004650453,0.0003487659,0.0002411211,0.0002582346,0.0002215125],"domain_scores_gemma":[0.9992657,0.00003941586,0.0001759231,0.0003340207,0.0001073246,0.00007762022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002215146,0.0003187252,0.5536583,0.00008655333,0.00002218833,0.000164757,0.003992464,0.0001167946,0.4293762,0.00003472582,0.004922641,0.007085122],"study_design_scores_gemma":[0.0008534612,0.0002493671,0.8222119,0.0001597248,0.00005604318,0.0002245825,0.0002305765,0.0002068362,0.09732027,0.0004014448,0.07768087,0.0004049382],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949541,0.0000877029,0.000002255623,0.001009326,0.0007289762,0.0002070727,0.000009802274,0.00007113711,0.002929604],"genre_scores_gemma":[0.9991948,0.000001048735,0.0001787379,0.0001734562,0.0001917618,0.000009874503,0.00003169381,0.00001884131,0.0001998024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.332056,"threshold_uncertainty_score":0.7069259,"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."}}