{"id":"W2521936785","doi":"10.1021/cen-v080n002.p006","title":"FISHING FOR COMPLEXES","year":2002,"lang":"en","type":"article","venue":"Chemical & Engineering News","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Chemistry; Business; Fishery; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004115224,0.0001210779,0.0001091172,0.00002203395,0.00002167738,0.00001785189,0.0001078037,0.00009463669,0.00001731993],"category_scores_gemma":[0.0001440236,0.0001223915,0.00007862639,0.00005643012,0.0000124511,0.000002891333,0.00002946048,0.00006577865,0.000007600587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008404999,"about_ca_system_score_gemma":0.000002094215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005061792,"about_ca_topic_score_gemma":4.660671e-7,"domain_scores_codex":[0.9993972,0.000002370451,0.0001226095,0.0002304346,0.00004339701,0.00020402],"domain_scores_gemma":[0.9997064,0.00000456053,0.00001847836,0.0001855143,0.00002489702,0.00006016566],"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":[0.000004284453,0.00001534147,0.000008288099,0.00002996486,0.00001325693,1.519037e-7,0.00001027855,0.001111084,0.9783285,0.00003938853,0.01888885,0.0015506],"study_design_scores_gemma":[0.0001629298,0.0000193342,0.00001248778,0.000007767065,0.000006401606,0.000008821601,0.000001659196,0.001725762,0.6964315,0.000004043001,0.3014936,0.0001257127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497489,0.00128042,0.04720581,0.0006839292,0.0005437672,0.0002061495,0.0000213946,0.0001210044,0.000188592],"genre_scores_gemma":[0.9870334,0.0000537879,0.01092622,0.00008258875,0.001224002,0.00002701843,0.00006867797,0.00003120855,0.0005530475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2826047,"threshold_uncertainty_score":0.4990982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257265357867215,"score_gpt":0.2088048518310566,"score_spread":0.1962321982523844,"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."}}