{"id":"W2050139442","doi":"10.3390/md9010082","title":"Search for Hydrophilic Marine Fungal Metabolites: A Rational Approach for Their Production and Extraction in a Bioactivity Screening Context","year":2011,"lang":"en","type":"article","venue":"Marine Drugs","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche","keywords":"Mycelium; Fermentation; Context (archaeology); Extraction (chemistry); Marine fungi; Agar; Biology; Raw material; Bioactive compound; Food science; Chromatography; Chemistry; Biochemistry; Botany; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007934927,0.0001689325,0.0003055766,0.0001942258,0.0001072936,0.00002081847,0.00004950003,0.00008715853,0.00006256365],"category_scores_gemma":[0.0002657099,0.0001272699,0.00008513531,0.0001937963,0.00007319712,0.0002034527,0.00008150019,0.0001891161,7.1919e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004273779,"about_ca_system_score_gemma":0.0000431176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005930856,"about_ca_topic_score_gemma":0.00007572215,"domain_scores_codex":[0.9988786,0.00004787392,0.0002395441,0.0004689113,0.0001144782,0.0002505885],"domain_scores_gemma":[0.9994365,0.00009138467,0.00007370798,0.0001800215,0.0001514015,0.00006696784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007499752,0.001095047,0.03393978,0.0007875406,0.0002198319,0.000002372318,0.001677913,0.000006897536,0.2749425,0.0009475502,0.0003631069,0.6785176],"study_design_scores_gemma":[0.003636139,0.000547524,0.1208511,0.00007168168,0.0002118499,0.0001719018,0.001365297,0.01111133,0.8546745,0.0005021306,0.006410802,0.0004457828],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929613,0.0001387072,0.001719206,0.00180459,0.0001093719,0.002301126,0.00003720091,0.00004332405,0.0008851626],"genre_scores_gemma":[0.9801003,0.00003909094,0.01799991,0.0001059547,0.0004632925,0.00005992513,0.0001705079,0.00002312007,0.001037851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6780719,"threshold_uncertainty_score":0.5189916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04680874293742409,"score_gpt":0.268557191888165,"score_spread":0.2217484489507409,"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."}}