{"id":"W2113065039","doi":"10.1016/j.ijfoodmicro.2006.11.004","title":"Predictive modelling of temperature and water activity (solutes) on the in vitro radial growth of Botrytis cinerea Pers","year":2006,"lang":"en","type":"article","venue":"International Journal of Food Microbiology","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Sorbitol; Botrytis cinerea; Water activity; Growth rate; Incubation; Glycerol; Elongation; Sugar; Atmospheric temperature range; Horticulture; Growth model; Chemistry; Food science; Materials science; Thermodynamics; Biology; Biochemistry; Water content; Mathematics; Physics; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003672148,0.0006462402,0.0005274927,0.0002219894,0.0002209847,0.0006305679,0.0006369232,0.0009293279,0.0009046958],"category_scores_gemma":[0.001242702,0.0004250592,0.0005118411,0.0002013805,0.0003538324,0.0003777755,0.0002665363,0.0007309042,0.0001356476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008458868,"about_ca_system_score_gemma":0.0005108723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02686535,"about_ca_topic_score_gemma":0.0136435,"domain_scores_codex":[0.9999298,0.00001964544,0.000003996744,0.00001726863,0.00001332999,0.00001590994],"domain_scores_gemma":[0.9990057,0.0008007,0.00006702568,0.0000223218,0.00007931446,0.00002495947],"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":[0.00004558142,0.00002804636,0.0004006942,0.00001671374,0.000006889409,0.00001474889,0.000007503457,0.996671,0.001927894,0.0000790355,0.00003128648,0.0007706032],"study_design_scores_gemma":[0.000002900119,0.00001574197,0.0001912731,8.053754e-7,0.000002772758,0.000001366133,0.000002589959,0.9989253,0.0008184278,0.00002446463,0.00001272554,0.000001693216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834501,0.0002550252,0.01386133,0.000130881,0.00002369775,0.00001676157,0.0001897165,0.0001472129,0.001925379],"genre_scores_gemma":[0.9985966,0.00006050044,0.0008417502,0.000007031845,0.000001868841,0.000007359843,0.0000528734,0.000007309284,0.0004246709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02686535,"threshold_uncertainty_score":0.05341798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047019244071101,"score_gpt":0.1851810741891978,"score_spread":0.1747108817484868,"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."}}