{"id":"W3006519214","doi":"10.1002/aps3.11324","title":"Novel methodologies to disentangle plant–environment interactions","year":2020,"lang":"en","type":"article","venue":"Applications in Plant Sciences","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Vermont; University of Guelph; University of Cincinnati; University of Michigan","keywords":"Biology; Trophic level; Ecology; Plant community; Plant reproduction; Abiotic component; Plant biology; Variety (cybernetics); Pollination; Botany; Species richness; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000146652,0.00009141517,0.0001186651,0.00001547951,0.0003247078,0.00004460577,0.0003494184,0.0000199281,0.00007380371],"category_scores_gemma":[0.0000415111,0.00003627109,0.00002997343,0.0004748073,0.00009793119,0.00008565697,0.0001377025,0.0000646441,0.00009828752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001516626,"about_ca_system_score_gemma":0.000003524391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001343561,"about_ca_topic_score_gemma":0.001072717,"domain_scores_codex":[0.9991732,0.00002026595,0.0001494476,0.0003162681,0.0001454035,0.0001954779],"domain_scores_gemma":[0.9993902,0.000467665,0.00004154632,0.00001535641,0.000005207369,0.00007995289],"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":[0.00003475682,0.0001398717,0.06474903,0.000005366305,0.00001232446,0.000002768789,0.0007964647,0.0002712595,0.9050041,0.007167439,0.004824059,0.01699256],"study_design_scores_gemma":[0.0001098387,0.0002957295,0.6252984,0.0000231504,0.00001338058,0.00001651397,0.007604354,0.0004865353,0.008226438,0.001263397,0.3562275,0.000434738],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689374,0.0001837059,0.001938612,0.0214182,0.00004532227,0.0006764726,0.001423451,0.000141709,0.00523512],"genre_scores_gemma":[0.9920934,0.0001001914,0.006561298,0.0008617425,0.0001207955,0.0001644061,0.00005556451,4.553715e-7,0.00004212744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8967776,"threshold_uncertainty_score":0.2497423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2675789986751672,"score_gpt":0.3048514185777221,"score_spread":0.03727241990255492,"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."}}