{"id":"W4310376384","doi":"10.3390/f13122020","title":"Machine Learning-Assisted In Vitro Rooting Optimization in Passiflora caerulea","year":2022,"lang":"en","type":"article","venue":"Forests","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Explant culture; Auxin; Micropropagation; Biology; Passiflora; Botany; In vitro; Caerulea; Machine learning; Biological system; Computer science; Biochemistry","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":[0.0001163713,0.00007108093,0.00007474595,0.00005600675,0.00008773177,0.000009388335,0.00007105398,0.00005391582,0.00002406917],"category_scores_gemma":[0.00003805192,0.00006942705,0.00002275719,0.0001313954,0.00001115798,0.000003099868,0.00006555173,0.0001319963,0.000001571643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003570687,"about_ca_system_score_gemma":0.00003644534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003704565,"about_ca_topic_score_gemma":0.01153776,"domain_scores_codex":[0.9994066,0.00008759963,0.0001278697,0.0001724087,0.00007714373,0.0001283164],"domain_scores_gemma":[0.9998416,0.000003887786,0.00004767066,0.00007399366,0.00001197549,0.00002090902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001208675,0.00006860804,0.05946507,0.00000717798,0.000006677632,0.00002794911,0.0001296476,0.5517589,0.3861668,0.00001584848,0.0004096727,0.001822788],"study_design_scores_gemma":[0.004065963,0.0006350446,0.1266452,0.00003432604,0.00002266821,0.0002052916,0.0003845909,0.4470198,0.2691098,0.00003334607,0.1509805,0.0008634386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967898,0.001252059,0.001029469,0.0002427972,0.000126352,0.0001378926,0.00001826615,0.00001245493,0.0003909428],"genre_scores_gemma":[0.996206,0.00002669318,0.0003496351,0.00004898912,0.00007131429,0.00003854203,0.00208474,0.00001049981,0.001163515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1505709,"threshold_uncertainty_score":0.6438339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009158509951737672,"score_gpt":0.2247513133675842,"score_spread":0.2155928034158466,"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."}}