{"id":"W2100063867","doi":"10.1002/bit.21543","title":"A predictive nutritional model for plant cells and hairy roots","year":2007,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Catharanthus roseus; Daucus carota; Suspension culture; Cell culture; Kinetics; Intracellular; Botany; Biology; Plant cell; Biochemistry; Chemistry","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":[0.0003721231,0.001134702,0.0008780675,0.0004987685,0.0004035825,0.001037334,0.001748554,0.001720469,0.00264735],"category_scores_gemma":[0.001244341,0.0004922016,0.001056884,0.0005782064,0.0006080284,0.001225056,0.0006241819,0.0009950574,0.0006845043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278762,"about_ca_system_score_gemma":0.00110348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01788707,"about_ca_topic_score_gemma":0.007953187,"domain_scores_codex":[0.9998048,0.000036332,0.000009924578,0.00006873968,0.00004954374,0.00003067291],"domain_scores_gemma":[0.9995148,0.0002387798,0.00007329138,0.00002552475,0.0001199793,0.00002764974],"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":[0.00001523005,0.00001040062,0.000243261,0.00002289351,0.000007931745,0.00005049243,0.00001719597,0.9930918,0.001974943,0.003014382,0.0001454367,0.001406018],"study_design_scores_gemma":[0.000004808599,0.000009925572,0.0001000686,0.000002265002,0.000004942908,0.00001128992,0.000004158842,0.9980652,0.0002634727,0.001252492,0.0002776022,0.000003780318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1867454,0.0008691413,0.7916642,0.000638733,0.0001131843,0.0001589784,0.002108309,0.00102131,0.01668069],"genre_scores_gemma":[0.9378479,0.0008364886,0.04109498,0.0001415862,0.00003895968,0.000515477,0.001447863,0.0001339605,0.0179428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01788707,"threshold_uncertainty_score":0.03556591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134847413385846,"score_gpt":0.1887751930169694,"score_spread":0.1752904516783848,"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."}}