{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008412644,0.00005986228,0.00010272,0.00001019928,0.0001150451,0.000009987399,0.0000601961,0.00004777232,0.00001822519],"category_scores_gemma":[0.00002438708,0.000024557,0.00003680861,0.0001605999,0.00001919938,0.00004823695,0.00001091638,0.00004592412,0.00001732748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006802031,"about_ca_system_score_gemma":0.000002010191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002559415,"about_ca_topic_score_gemma":0.00006335057,"domain_scores_codex":[0.9995791,0.00003926872,0.0001089638,0.0001052637,0.00006605635,0.0001013336],"domain_scores_gemma":[0.9997261,0.0001319935,0.00005767928,0.00001977097,0.00004624518,0.00001828222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004937068,0.00007860039,0.03699786,0.000005319865,0.00001221661,0.00000299918,0.0002373438,0.000002548747,0.8537624,0.0008858013,0.0001221766,0.1078433],"study_design_scores_gemma":[0.00004856284,0.0001951526,0.9146837,0.00000761435,0.000005994428,3.145542e-7,0.00005979814,0.00002306979,0.08397911,0.0006794198,0.0002672753,0.00005000221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994069,0.00003564421,7.777846e-7,0.004121254,0.00005808072,0.0000931172,0.000002584006,0.00003220541,0.001587281],"genre_scores_gemma":[0.998619,0.000008282366,0.000009316131,0.001061814,0.0001163219,0.00000604876,0.000007709781,2.103568e-7,0.0001713618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8776858,"threshold_uncertainty_score":0.1001405,"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."}}