{"id":"W2149464150","doi":"10.3390/md9030369","title":"Chemical Screening Method for the Rapid Identification of Microbial Sources of Marine Invertebrate-Associated Metabolites","year":2011,"lang":"en","type":"article","venue":"Marine Drugs","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Marine invertebrates; Invertebrate; Microorganism; Biology; Identification (biology); Marine fungi; Ecology; Bacteria; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009761407,0.0001449098,0.000430859,0.00009022465,0.00005129709,0.000008839816,0.0001964835,0.00009794825,0.0005629766],"category_scores_gemma":[0.0007014303,0.00009191708,0.0002044497,0.0002716987,0.0001170861,0.00005232146,0.0002526571,0.0001296492,0.000002151945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001401075,"about_ca_system_score_gemma":0.00003060524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361108,"about_ca_topic_score_gemma":0.00001969413,"domain_scores_codex":[0.9988264,0.00006427084,0.000535976,0.0002402273,0.0001456,0.0001874684],"domain_scores_gemma":[0.9987579,0.0002243128,0.0003775056,0.0003035229,0.0002942275,0.00004254026],"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":[0.0004500046,0.0001607409,0.002224419,0.0001329474,0.0002859272,3.365726e-7,0.0004159703,2.320305e-7,0.863282,0.0002198402,0.0009886886,0.1318388],"study_design_scores_gemma":[0.0008363483,0.00005074334,0.009735232,0.00002757409,0.0004981853,0.000005613032,0.000134603,0.0004986374,0.9864038,0.000208114,0.001502867,0.00009825676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940982,0.0002931654,0.001050128,0.001921729,0.0001850957,0.0009563141,0.00008408317,0.00004930656,0.001361961],"genre_scores_gemma":[0.9800497,0.00005885847,0.01860845,0.0002150057,0.0001130554,0.000004515472,0.0001032166,0.00002141126,0.0008258193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1317406,"threshold_uncertainty_score":0.6164199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279526792711568,"score_gpt":0.2539255373661554,"score_spread":0.2311302694390397,"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."}}