{"id":"W1994765082","doi":"10.1016/j.gene.2014.10.050","title":"Identification and expression analysis of cold and freezing stress responsive genes of Brassica oleracea","year":2014,"lang":"en","type":"article","venue":"Gene","topic":"Plant Stress Responses and Tolerance","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Rural Development Administration; Korea Forest Service; Ministry of Agriculture, Food and Rural Affairs; Ministry of Oceans and Fisheries; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Biology; Brassica rapa; Brassica; Gene; Brassica oleracea; Cold-shock domain; Cold stress; Microarray analysis techniques; Gene expression profiling; Microarray; Genetics; Gene expression; Botany; RNA","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001199624,0.00005558522,0.0001711022,0.00002839794,0.00006263459,0.00001424121,0.00006619663,0.00003933804,0.00001301579],"category_scores_gemma":[0.00004106292,0.00002369497,0.00003363211,0.0002209802,0.00005053352,0.0000566271,0.00004087068,0.00002162484,2.341815e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001750127,"about_ca_system_score_gemma":0.000001703404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008244455,"about_ca_topic_score_gemma":0.0001437163,"domain_scores_codex":[0.9994311,0.00007919457,0.0001594376,0.0001557155,0.0001013754,0.00007314739],"domain_scores_gemma":[0.9994681,0.0002536307,0.0001440616,0.00004924535,0.00004940539,0.00003551727],"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":[0.00006167834,0.00001446478,0.02182524,0.000007640134,0.00002742545,3.07427e-7,0.00003274748,0.00006105744,0.9597422,0.00006378628,0.00001180193,0.01815168],"study_design_scores_gemma":[0.00004704962,0.00003274422,0.3212534,0.00001811855,0.00004638521,3.748478e-7,0.00004394241,0.001047596,0.6769959,0.00001301651,0.0004614934,0.00003993987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986869,0.0008420001,0.00004405326,0.0001327111,0.00001570625,0.0000482149,0.0002071502,0.00000563491,0.0000175959],"genre_scores_gemma":[0.999377,0.000374563,0.00008667762,0.00001395613,0.00002566705,0.000002758787,0.00002833572,3.322618e-7,0.00009070463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2994282,"threshold_uncertainty_score":0.0966253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016139035001911,"score_gpt":0.2123405068313175,"score_spread":0.2021791164812984,"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."}}