{"id":"W2349345941","doi":"","title":"Research Progress of Proteomics in Forests","year":2013,"lang":"en","type":"article","venue":"Anhui nongye kexue","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Proteomics; Beech; Research Object; Biology; Ecology; Geography; Regional science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005264233,0.0000654185,0.0001267901,0.00006013966,0.00008655442,0.000007526611,0.000386482,0.0001141994,0.004610723],"category_scores_gemma":[0.00004167917,0.00005921417,0.00002190839,0.0003042923,0.0006251467,0.000137266,0.0003843255,0.0003563735,0.001125649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004907955,"about_ca_system_score_gemma":0.00001561325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003469163,"about_ca_topic_score_gemma":0.01195657,"domain_scores_codex":[0.9989883,0.0002992071,0.0001645878,0.000145998,0.00009546379,0.0003064573],"domain_scores_gemma":[0.9994847,0.0001180065,0.00003972436,0.00029723,0.00001849034,0.00004183539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004394079,0.0003718453,0.904835,0.00002534781,0.000006663612,0.00000506174,0.0009272957,0.0001432628,0.0766611,0.0005784032,0.01298767,0.003414435],"study_design_scores_gemma":[0.0002323518,0.0002043187,0.978984,0.00001340954,9.502891e-7,0.000002765922,0.0001031851,0.0002052877,0.008947744,0.01008898,0.001132349,0.00008467068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899178,0.00001447319,0.000006931925,0.0003225856,0.00003384314,0.0005365511,0.000001535675,0.000007673692,0.009158586],"genre_scores_gemma":[0.998547,0.000006149356,0.0008899019,0.0000586301,0.00001289867,0.00009864329,0.000007032213,0.000006520793,0.0003731797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07414902,"threshold_uncertainty_score":0.9996521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742792429325562,"score_gpt":0.3126487625853426,"score_spread":0.2852208382920869,"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."}}