{"id":"W3095395377","doi":"10.1007/s00253-020-10978-1","title":"Introducing a hybrid artificial intelligence method for high-throughput modeling and optimizing plant tissue culture processes: the establishment of a new embryogenesis medium for chrysanthemum, as a case study","year":2020,"lang":"en","type":"article","venue":"Applied Microbiology and Biotechnology","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Somatic embryogenesis; Botany; Chemistry; Explant culture; Biology; Biochemistry; In vitro","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002078129,0.0002044755,0.0003112025,0.00003672097,0.0002157868,0.00001842614,0.0001616999,0.0003599918,0.00000113178],"category_scores_gemma":[0.00009966335,0.0001377868,0.0000269112,0.00009694927,0.0001397159,0.000004655849,0.0001489131,0.0001206169,2.979404e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005775841,"about_ca_system_score_gemma":0.000113378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000193878,"about_ca_topic_score_gemma":0.0005285603,"domain_scores_codex":[0.9988215,0.00002906829,0.0003007208,0.0006024266,0.00002304672,0.0002232365],"domain_scores_gemma":[0.9995468,0.00004609829,0.0001276742,0.0001639634,0.0000696655,0.00004577526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003613599,0.00005276177,9.277635e-7,0.00009461406,0.0001406876,0.00001160987,0.001520885,0.0005230717,0.9875939,0.0007525712,0.0005386574,0.008408958],"study_design_scores_gemma":[0.0003804044,0.001096868,3.086787e-8,0.000008654131,0.0001456431,0.001380217,0.007002743,0.001073985,0.984758,0.000329505,0.003649838,0.0001741467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4840165,0.002475596,0.5089086,0.003149292,0.00005971393,0.001238735,0.0001280937,0.0000220312,0.00000148176],"genre_scores_gemma":[0.9479571,0.0004409617,0.05044239,0.0003785457,0.0002868584,0.0001604759,0.0002970737,0.00001671896,0.00001988467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4639406,"threshold_uncertainty_score":0.5618784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047150855954946,"score_gpt":0.2709984494999833,"score_spread":0.2505269409404338,"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."}}