{"id":"W4256066993","doi":"10.1021/bk-2002-0815.ch003","title":"AlphaScreen™","year":2002,"lang":"en","type":"book-chapter","venue":"ACS symposium series","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"PerkinElmer Biosignal","funders":"","keywords":"Molecular biology; Computational biology; DNA; Homogeneous; Chemistry; Biology; Biochemistry; Physics","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":[0.0002309465,0.0005726402,0.0003196354,0.000550434,0.0003254554,0.001169339,0.0006781346,0.0003954491,0.02264191],"category_scores_gemma":[0.00026256,0.0003448616,0.000368809,0.0004543137,0.0002869736,0.0008921301,0.0004307441,0.001038983,0.03894404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004040603,"about_ca_system_score_gemma":0.0002605307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004977607,"about_ca_topic_score_gemma":0.0009721326,"domain_scores_codex":[0.9997972,0.00001897128,0.000007911493,0.00004474862,0.00011664,0.00001459651],"domain_scores_gemma":[0.9999113,0.00002012956,0.000006271092,0.00001065041,0.00004065825,0.00001093378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001498493,0.00009392686,0.0004370028,0.0007538255,0.00002219854,0.0002131208,0.0002049905,0.0004752325,0.1764517,0.03167326,0.1182392,0.6712856],"study_design_scores_gemma":[0.00001253757,0.0001018887,0.0006198052,0.00006806888,0.00001721066,0.0007717666,0.00004120849,0.001023245,0.07827044,0.00510849,0.9139349,0.00003044952],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01956444,0.03637473,0.3359499,0.002900966,0.003733582,0.0005186503,0.003190403,0.01134262,0.5864246],"genre_scores_gemma":[0.03800213,0.01315568,0.09717662,0.001449351,0.0002936879,0.0002637587,0.002927943,0.0006135165,0.8461174],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02264191,"threshold_uncertainty_score":0.07574481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013735902452498,"score_gpt":0.2234166351477226,"score_spread":0.2132792761231976,"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."}}