{"id":"W4252421190","doi":"10.1007/978-1-0716-0880-7_2","title":"Bioinformatic Tools in Arabidopsis Research","year":2020,"lang":"en","type":"book-chapter","venue":"Methods in molecular biology","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Arabidopsis; Proteome; Computational biology; Genome; Computer science; Biology; Data science; Gene; Genetics","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":[0.001684457,0.001137082,0.0006936236,0.002270637,0.00065376,0.002538066,0.001602536,0.0006309312,0.01138738],"category_scores_gemma":[0.001814393,0.0007117508,0.0006325174,0.003133438,0.001357921,0.003339358,0.0009965118,0.002282684,0.007136742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128773,"about_ca_system_score_gemma":0.0008089878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005994333,"about_ca_topic_score_gemma":0.0007485625,"domain_scores_codex":[0.9993523,0.0001780868,0.00005762395,0.0001282704,0.0002514682,0.00003224101],"domain_scores_gemma":[0.9988054,0.0008358448,0.00004145616,0.000163921,0.0001151134,0.00003825762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004849792,0.0000471676,0.000139814,0.0012988,0.00004585819,0.0001458165,0.0002864607,0.001515574,0.01530829,0.3610435,0.1034698,0.5166504],"study_design_scores_gemma":[0.00001094813,0.00001732948,0.0004364921,0.0002585558,0.00002718293,0.0004403675,0.00006479937,0.003607098,0.006700889,0.316217,0.6721922,0.00002718368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001795184,0.04860644,0.8707097,0.00286071,0.001741505,0.0001179147,0.001467708,0.009297472,0.06340341],"genre_scores_gemma":[0.01493599,0.03797705,0.8798413,0.002374185,0.001109072,0.0003808873,0.003891299,0.002613277,0.05687687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01138738,"threshold_uncertainty_score":0.03809458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.162210131311318,"score_gpt":0.4289349058072384,"score_spread":0.2667247744959204,"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."}}