{"id":"W2390490379","doi":"","title":"Mining abiotic response genes from Arabidopsis microarray expression data","year":2009,"lang":"en","type":"article","venue":"China Journal of Bioinformatics","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Arabidopsis; Gene; Abiotic stress; Biology; Microarray analysis techniques; Transcription factor; Abiotic component; Genetics; Gene expression; DNA microarray; Gene expression profiling; Computational biology; Mutant; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004839146,0.0008297192,0.000846046,0.003399236,0.0004675484,0.0005078016,0.0006888103,0.0005774194,0.001204355],"category_scores_gemma":[0.001073423,0.0002849189,0.0009269888,0.003084937,0.0002020152,0.0003500913,0.0003249847,0.000644915,0.0006592193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000539393,"about_ca_system_score_gemma":0.0007911194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765939,"about_ca_topic_score_gemma":0.002930907,"domain_scores_codex":[0.9994658,0.00004890714,0.00006085176,0.0002011415,0.0001535754,0.00006969574],"domain_scores_gemma":[0.9995221,0.0001869215,0.00009272939,0.00004690637,0.0001151776,0.00003619314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001101491,0.0004561868,0.04627477,0.0018688,0.000395896,0.001482489,0.0003902479,0.008515019,0.7997314,0.001522766,0.006979269,0.1312816],"study_design_scores_gemma":[0.0002565471,0.001018756,0.403435,0.0001503884,0.0008014349,0.002384519,0.001342343,0.1392576,0.3730525,0.009708622,0.0683712,0.0002210838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7189878,0.002799467,0.1488968,0.0007037949,0.0001131141,0.0004482982,0.1197231,0.005307799,0.00301989],"genre_scores_gemma":[0.5907485,0.001458027,0.198367,0.0003846525,0.00008450346,0.0009094426,0.2056556,0.0002809324,0.002111376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003399236,"threshold_uncertainty_score":0.004028916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504576472090069,"score_gpt":0.2562075128399253,"score_spread":0.2411617481190246,"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."}}