{"id":"W3152825942","doi":"10.33581/2521-1722-2020-2-15-25","title":"Modern phenotyping platforms and their application in plant biology and agriculture","year":2020,"lang":"en","type":"article","venue":"Journal of the Belarusian State University Biology","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plant Biotechnology Institute","funders":"","keywords":"Phenomics; Biotechnology; Field (mathematics); Key (lock); Data science; Software; Agriculture; Organism; Computer science; Biology; Ecology; Mathematics; Genomics","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":[0.003757905,0.0007733068,0.0006757143,0.004199292,0.0009907448,0.002280076,0.0009136708,0.001025041,0.004243087],"category_scores_gemma":[0.002233142,0.0005418393,0.0007576773,0.004281669,0.001180834,0.00214834,0.001690255,0.001263016,0.001548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284702,"about_ca_system_score_gemma":0.001289324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001864497,"about_ca_topic_score_gemma":0.001980346,"domain_scores_codex":[0.9968024,0.0005956622,0.0001612471,0.0009511368,0.001281745,0.0002076989],"domain_scores_gemma":[0.9972318,0.0009381173,0.0003884887,0.0003469035,0.000950144,0.0001445488],"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":[0.0003857476,0.00009843032,0.02105506,0.002524315,0.0001109119,0.0006586288,0.001364376,0.003846802,0.343695,0.02384516,0.009382055,0.5930335],"study_design_scores_gemma":[0.00002551345,0.000744547,0.1009033,0.001267884,0.0002926105,0.004244074,0.001883688,0.0115641,0.1683894,0.02924563,0.6811452,0.0002940887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1511594,0.08734005,0.6836197,0.004807191,0.00111781,0.000812055,0.006232988,0.004633375,0.06027735],"genre_scores_gemma":[0.3930312,0.0693915,0.5084096,0.001517343,0.0007170257,0.0007777259,0.004959871,0.0006263349,0.02056937],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004243087,"threshold_uncertainty_score":0.01987398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111388616402063,"score_gpt":0.1715781366892704,"score_spread":0.1604642505252498,"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."}}