{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004926219,0.0006139214,0.0005833555,0.0004846476,0.000272132,0.0006475772,0.0003249605,0.0003754302,0.0009137191],"category_scores_gemma":[0.0004442239,0.0002030081,0.0003928192,0.0004259656,0.0003128806,0.0005010369,0.0003898907,0.0005993893,0.00044809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366612,"about_ca_system_score_gemma":0.0005468519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005556684,"about_ca_topic_score_gemma":0.001541425,"domain_scores_codex":[0.9997086,0.00008481542,0.00002673023,0.00005051469,0.00009625129,0.0000330147],"domain_scores_gemma":[0.9998029,0.00006017527,0.0000460328,0.00002767733,0.0000375659,0.00002575549],"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":[0.00007175741,0.000131691,0.0003972581,0.0001072901,0.000006621123,0.00008691727,0.00001842349,0.0005034776,0.9896436,0.000175105,0.00003119039,0.008826659],"study_design_scores_gemma":[0.0000296629,0.0008581043,0.001763813,0.00002385514,0.00003658397,0.0002698172,0.00005407699,0.001401357,0.9927405,0.0001392824,0.002671157,0.00001186784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8689317,0.00798278,0.1141229,0.0006270182,0.00004204511,0.00163637,0.00103196,0.0001738691,0.00545141],"genre_scores_gemma":[0.8294984,0.008073691,0.1587609,0.0001826204,0.00003553613,0.000330645,0.0008076656,0.00004775716,0.002262849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009137191,"threshold_uncertainty_score":0.003056645,"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."}}