{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00286644,0.0005819929,0.0006922431,0.003064731,0.0009650614,0.002484009,0.0005354934,0.001417698,0.001563212],"category_scores_gemma":[0.001345889,0.0002993591,0.0005866256,0.003851027,0.001836207,0.005924539,0.00166079,0.002468491,0.0008760727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559088,"about_ca_system_score_gemma":0.002102448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328428,"about_ca_topic_score_gemma":0.0008144024,"domain_scores_codex":[0.9989195,0.0003015816,0.00007291784,0.0003116199,0.0003015647,0.00009297393],"domain_scores_gemma":[0.9988216,0.0004349912,0.0001280232,0.00008750152,0.0004172518,0.0001107652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001442886,0.00008439124,0.003773616,0.007252743,0.0001577674,0.000771763,0.001169645,0.001266475,0.04600077,0.1796585,0.03078289,0.7289371],"study_design_scores_gemma":[0.000009722437,0.000153864,0.00615999,0.001352033,0.00007930074,0.001652388,0.0007494026,0.001169517,0.0164499,0.06632423,0.9058046,0.00009505332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005547551,0.9515476,0.01261527,0.009020686,0.002381646,0.00001967115,0.00009410662,0.00009327932,0.01868022],"genre_scores_gemma":[0.04932297,0.9249355,0.01242661,0.003019484,0.003355118,0.00003076428,0.0001562276,0.00003158934,0.006721822],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003064731,"threshold_uncertainty_score":0.01515943,"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."}}