{"id":"W2356089858","doi":"","title":"Effect of Shock Compression on Germination Rate of Plant Seeds","year":2014,"lang":"en","type":"article","venue":"Chinese Journal of High Pressure Physics","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Germination; Compression (physics); Materials science; Shock (circulatory); Deformation (meteorology); Shock wave; Scanning electron microscope; Horticulture; Biology; Composite material; Mechanics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004140344,0.0001605444,0.0003838705,0.00003927066,0.00002469544,0.000005217938,0.0001853615,0.00009154561,0.000008296459],"category_scores_gemma":[0.0001530617,0.0001005093,0.000135374,0.00007128283,0.00005084342,0.000005536414,0.00004313323,0.0001308389,6.273841e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002629418,"about_ca_system_score_gemma":0.00002355543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006569907,"about_ca_topic_score_gemma":5.899605e-7,"domain_scores_codex":[0.998965,0.0003196425,0.0003032006,0.0001133399,0.0001820933,0.0001166787],"domain_scores_gemma":[0.9989307,0.0001722535,0.0004806031,0.0002103169,0.0001534118,0.00005273522],"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":[0.0009675965,0.0001295126,0.001275363,0.0003201634,0.000091678,0.000001876732,0.00003943834,0.002272567,0.9870197,0.0001418702,0.001250488,0.006489781],"study_design_scores_gemma":[0.001593022,0.009286744,0.009622348,0.0001411499,0.0001483115,0.00002060193,0.000001195647,0.001387921,0.9763675,0.000586251,0.0007356741,0.000109247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970782,0.0004361266,0.001756783,0.00003540888,0.0001855183,0.0001185831,0.00001514224,0.000002187817,0.0003720884],"genre_scores_gemma":[0.9992676,0.00004612021,0.0001187808,0.00002835836,0.0003982676,0.00000183138,0.0000282393,0.00001381684,0.00009701874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01065213,"threshold_uncertainty_score":0.4098648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002054775627108627,"score_gpt":0.2283377606622349,"score_spread":0.2262829850351262,"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."}}