{"id":"W4391404736","doi":"10.1101/2024.01.28.577514","title":"The MKK3 MAPK cascade integrates temperature and after-ripening signals to modulate seed germination","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Seed Germination and Physiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"RIKEN; Arizona Biomedical Research Commission; Tokyo University of Agriculture and Technology; Tokyo University of Agriculture; Shimane University; Connaught Fund; Ministry of Education, Culture, Sports, Science and Technology; Meiji University","keywords":"Ripening; Germination; Abscisic acid; Dormancy; Gibberellic acid; Seed dormancy; Biology; Gibberellin; Arabidopsis; Cell biology; Catabolism; Enzyme; Mutant; Biochemistry; Horticulture; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00009268988,0.0004743157,0.0001907344,0.0001761118,0.0002020739,0.0002498075,0.0001285623,0.0001791127,0.003402152],"category_scores_gemma":[0.00007830703,0.0001527475,0.0002490382,0.00009506472,0.000130522,0.0002097771,0.000317415,0.0004515809,0.001212539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003641428,"about_ca_system_score_gemma":0.0001739232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004126001,"about_ca_topic_score_gemma":0.0007272342,"domain_scores_codex":[0.9999236,0.000008246898,0.000004116296,0.00002009083,0.00001966003,0.00002421149],"domain_scores_gemma":[0.9999522,0.000005424658,0.00001197991,0.000004668424,0.000007609174,0.00001815347],"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":[0.0001358263,0.00001159405,0.0002265521,0.00002572304,0.000003615485,0.00003151301,0.000005956745,0.00007714539,0.9982625,0.00009574794,0.00008104182,0.001042925],"study_design_scores_gemma":[0.00005583703,0.0001378518,0.03220978,0.00001014756,0.00001984616,0.0002000425,0.00002276496,0.005036552,0.9588549,0.0003566956,0.003083845,0.0000117662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812155,0.00181041,0.009569243,0.0002258263,0.00009024452,0.0000508858,0.001432669,0.0004390671,0.005165999],"genre_scores_gemma":[0.9903663,0.0006725693,0.003683542,0.00007315956,0.00002199713,0.00003579579,0.0009414918,0.00009277862,0.004112334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003402152,"threshold_uncertainty_score":0.01138133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009730763112860016,"score_gpt":0.2159346404551821,"score_spread":0.2062038773423221,"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."}}