{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001394903,0.0001388264,0.0001070615,0.00004678831,0.0001021874,0.00007938968,0.0003056285,0.0001067315,0.00006654074],"category_scores_gemma":[0.00001662854,0.0001235857,0.00007151979,0.0000135421,0.0001706939,0.000003324019,0.0002232832,0.00009031579,0.00002977192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005017647,"about_ca_system_score_gemma":0.00002889046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000053884,"about_ca_topic_score_gemma":0.000003904185,"domain_scores_codex":[0.9989084,0.00005615703,0.0002161068,0.0002342196,0.0002466663,0.0003384772],"domain_scores_gemma":[0.9993433,0.000007183624,0.00004314405,0.0004213171,0.0000260826,0.0001589613],"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":[0.0003129663,0.0005822722,0.0003334742,0.001367454,0.001055459,0.0001775733,0.0007539993,0.00003187564,0.02782783,0.1795244,0.4218785,0.3661542],"study_design_scores_gemma":[0.0004584217,0.0001192917,0.0001448197,0.00001221968,0.00001232264,0.000006398333,0.00005784129,0.00002274324,0.06764966,0.0006116621,0.9307382,0.000166447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02576549,0.002238334,0.001002105,0.00003210108,0.0002368353,0.0003914812,0.00001449991,0.00003935671,0.9702798],"genre_scores_gemma":[0.855579,0.002856326,0.006516587,0.001172522,0.0003517213,0.00008078196,0.0001810314,0.00006218459,0.1331999],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8370799,"threshold_uncertainty_score":0.5039679,"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."}}