{"id":"W7029149345","doi":"","title":"High throughput screening: focusing on assays in drug discovery","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug discovery; Throughput; Drug; High-throughput screening; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003937213,0.001189542,0.001519633,0.002744425,0.001076268,0.002783697,0.001690436,0.001451074,0.06095961],"category_scores_gemma":[0.003464652,0.0007760804,0.0007208817,0.001786765,0.0008540452,0.001582496,0.0009105309,0.002787982,0.0528801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566543,"about_ca_system_score_gemma":0.001772935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001278143,"about_ca_topic_score_gemma":0.004113663,"domain_scores_codex":[0.9977651,0.0003207084,0.0001057571,0.0001838541,0.001416963,0.0002077136],"domain_scores_gemma":[0.9954502,0.001061838,0.0001806225,0.0006747462,0.001854539,0.0007780485],"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":[0.001500792,0.0005757101,0.000676997,0.001026047,0.00007551896,0.0002904345,0.00005380574,0.0003035087,0.2147332,0.008221518,0.5233182,0.2492242],"study_design_scores_gemma":[0.0002219676,0.0009720933,0.005171195,0.0001310556,0.0001407854,0.00100072,0.00003067414,0.003193516,0.3484097,0.003087563,0.6375543,0.00008640029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.06264404,0.06484685,0.2987207,0.04751424,0.04201367,0.003438918,0.0326409,0.02838064,0.4198001],"genre_scores_gemma":[0.07564613,0.03402168,0.1096487,0.006443837,0.005986744,0.0009823171,0.03005332,0.003923171,0.7332942],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.06095961,"threshold_uncertainty_score":0.2039302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008221812727121218,"score_gpt":0.2565203876610423,"score_spread":0.2482985749339211,"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."}}