{"id":"W4292200036","doi":"10.1517/17460440903544456","title":"High-content screening for the discovery of pharmacological compounds: advantages, challenges and potential benefits of recent technological developments","year":2010,"lang":"en","type":"article","venue":"Expert Opinion on Drug Discovery","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Humanities; Library science; Biological sciences; Art; Biology; Biotechnology; Computer science","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":[0.0003032569,0.0002007567,0.0002794119,0.00006464932,0.00008625787,0.00002981992,0.0003273137,0.0001565071,0.000007339069],"category_scores_gemma":[0.0001258701,0.0001318703,0.0001362701,0.00005417267,0.0003139142,0.00002874041,0.0003107984,0.0001572356,2.173954e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008439448,"about_ca_system_score_gemma":0.00002600499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001447766,"about_ca_topic_score_gemma":0.00001140505,"domain_scores_codex":[0.9987807,0.00004858863,0.000350755,0.0004173958,0.0002027926,0.0001997284],"domain_scores_gemma":[0.9992421,0.00009142051,0.0002074412,0.0003248496,0.0000981403,0.00003599757],"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":[0.0004297455,0.0003010224,0.0001326322,0.00001244085,0.000196977,6.100835e-7,0.0000421861,0.00002561337,0.9242254,0.001296313,0.0009560768,0.07238098],"study_design_scores_gemma":[0.000770792,0.0002567563,0.004964677,0.00003785504,0.00002030921,0.000005874871,0.0004237097,0.00003147606,0.9737815,0.00007189982,0.01943878,0.0001963433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757313,0.01540518,0.006109521,0.001588411,0.0003019226,0.0006506942,0.0000499965,0.00003142097,0.0001315112],"genre_scores_gemma":[0.9151407,0.08115672,0.003076029,0.0001635532,0.0001479325,0.000101201,0.0001278337,0.00001668312,0.00006933376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07218464,"threshold_uncertainty_score":0.5377515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04017356457171891,"score_gpt":0.3109126498199946,"score_spread":0.2707390852482757,"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."}}