{"id":"W2285702430","doi":"10.1385/1-59259-180-9:117","title":"Compound Library Management","year":2003,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Flexibility (engineering); Automation; Computer science; Variety (cybernetics); Software; Quality (philosophy); Data management; Order (exchange); Track (disk drive); Software engineering; Database; Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002058819,0.001690048,0.001532095,0.007729278,0.001153303,0.005662716,0.003097436,0.0009250869,0.1195011],"category_scores_gemma":[0.005694073,0.000719843,0.00107726,0.006830195,0.0004028347,0.003949644,0.003776507,0.001428356,0.1119781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409942,"about_ca_system_score_gemma":0.002811323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001852118,"about_ca_topic_score_gemma":0.001886177,"domain_scores_codex":[0.9982894,0.0001501415,0.0002189435,0.0003430693,0.0008544534,0.0001439715],"domain_scores_gemma":[0.9969925,0.0003886615,0.0002413979,0.00111007,0.0009539555,0.0003134823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000513836,0.000177233,0.001275865,0.001370503,0.00008587111,0.0003910833,0.000165191,0.001647557,0.01245035,0.008398978,0.5121871,0.4613364],"study_design_scores_gemma":[0.00005771742,0.00006810582,0.001312563,0.0001133691,0.0000401755,0.0004298792,0.00006835223,0.003503032,0.01811045,0.006280518,0.9699528,0.00006305893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.007041856,0.006809267,0.2193406,0.001890792,0.00079668,0.003034344,0.3160402,0.2681004,0.176946],"genre_scores_gemma":[0.03368995,0.007557264,0.2072539,0.002663441,0.0005239416,0.003269069,0.5878996,0.01871532,0.1384275],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1195011,"threshold_uncertainty_score":0.3997709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842721460560744,"score_gpt":0.2771905213654379,"score_spread":0.2387633067598305,"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."}}