{"id":"W2364771796","doi":"","title":"Effects on Artificial Accelerate Aging Seeds Germination of Caryopteris mongolicaBunge","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Germination; Horticulture; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001060797,0.0002558947,0.000190948,0.0001903571,0.0002991882,0.0001665649,0.0002508161,0.0002191629,0.001116956],"category_scores_gemma":[0.0002782794,0.0001126309,0.0001424048,0.0001052779,0.0001824978,0.0001364747,0.0002491672,0.0004461697,0.0001239168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003301946,"about_ca_system_score_gemma":0.0002415343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003702504,"about_ca_topic_score_gemma":0.008115373,"domain_scores_codex":[0.9999331,0.00001533014,0.000005934854,0.00001980114,0.00001258814,0.00001312973],"domain_scores_gemma":[0.9997172,0.00007676984,0.00005293021,0.00002862855,0.00002586833,0.00009862021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001483546,0.0002407824,0.005092304,0.0001222994,0.00002205827,0.0001801139,0.0002187512,0.000117803,0.9864406,0.00009711266,0.00008256856,0.005901998],"study_design_scores_gemma":[0.000264919,0.01511438,0.5375261,0.0000500959,0.0002318109,0.0007240971,0.0008973987,0.002037638,0.4345238,0.0002162772,0.00836385,0.00004970492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994903,0.0001330047,0.00004361026,0.00001751815,0.000008989184,0.000004082181,0.00003951731,0.000005208657,0.0002578317],"genre_scores_gemma":[0.9974905,0.0001689888,0.0002922018,0.00004358801,0.000004217882,0.00001170524,0.0001619124,0.000006006509,0.00182086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003702504,"threshold_uncertainty_score":0.007361889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316684192737115,"score_gpt":0.2427152608612653,"score_spread":0.2195484189338942,"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."}}