{"id":"W1990819460","doi":"10.1080/07060661.2012.706832","title":"Climate change and plant health: designing research spillover from plant genomics for understanding the role of microbial communities","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Plant Pathology","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Phenome; Trait; Quantitative trait locus; Genomics; Climate change; Ecology; Computational biology; Biotechnology; Data science; Genome; Computer science; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001570798,0.00009479243,0.0002571484,0.00005925855,0.0005776196,0.00003475514,0.0002399725,0.00009495961,0.00001629925],"category_scores_gemma":[0.00002815884,0.00003816322,0.00005171762,0.00006955728,0.0002053198,0.00007956116,0.00002959814,0.0002468591,7.260568e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000282,"about_ca_system_score_gemma":0.00007675407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003969577,"about_ca_topic_score_gemma":0.1067401,"domain_scores_codex":[0.9986761,0.0002999865,0.0002881499,0.00007585242,0.00009158227,0.0005683854],"domain_scores_gemma":[0.9985899,0.0008031024,0.0002407337,0.00004471696,0.00004696741,0.0002746355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000477865,0.0000511124,0.07029909,0.00005371098,0.00007040619,0.0001951864,0.01315857,0.000003356762,0.8991411,0.00894861,0.002471243,0.005129789],"study_design_scores_gemma":[0.002126335,0.003688548,0.5449993,0.001979805,0.0001867547,0.01072833,0.1898922,0.0004620492,0.01256237,0.01112335,0.2209874,0.001263548],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974755,0.00799627,0.00002802788,0.0006606725,0.0002550944,0.0001943875,0.01607304,0.000002081903,0.00003541325],"genre_scores_gemma":[0.9976862,0.001240375,0.0002102828,0.0002170693,0.0004191883,0.000003460013,0.0002191183,0.000001730907,0.000002553335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8865787,"threshold_uncertainty_score":0.9095596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2019704618493151,"score_gpt":0.2656054939558475,"score_spread":0.06363503210653237,"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."}}