{"id":"W2118085282","doi":"10.1093/bioinformatics/btl126","title":"HTS-Corrector: software for the statistical analysis and correction of experimental high-throughput screening data","year":2006,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre; Université du Québec à Montréal","funders":"","keywords":"Computer science; Software; Throughput; Error detection and correction; Data mining; Raw data; Reliability engineering; Computer engineering; Algorithm; Operating system; Programming language","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":[0.00691529,0.0027391,0.002315064,0.003176478,0.0009615458,0.002007591,0.00402415,0.001118496,0.03185917],"category_scores_gemma":[0.01967108,0.00131171,0.00169522,0.003216396,0.0009359804,0.002039328,0.001649149,0.003386801,0.01593354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008420195,"about_ca_system_score_gemma":0.003410247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002490963,"about_ca_topic_score_gemma":0.002396232,"domain_scores_codex":[0.9946143,0.001547295,0.0005712991,0.0006009949,0.002413428,0.0002527375],"domain_scores_gemma":[0.9856722,0.007884783,0.001434768,0.001747757,0.003008086,0.0002523496],"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":[0.002732655,0.0003458946,0.008470736,0.003655626,0.0009670159,0.0008302432,0.0004982126,0.03717459,0.04931599,0.01474407,0.448863,0.432402],"study_design_scores_gemma":[0.0009538177,0.0006621872,0.01005678,0.0003832211,0.000455474,0.001497685,0.000125277,0.4828818,0.2543079,0.02465598,0.2234745,0.0005454787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.00422971,0.0003381814,0.7767596,0.0002445573,0.0002087075,0.0003775562,0.01433736,0.2020105,0.001493907],"genre_scores_gemma":[0.04245609,0.0006654492,0.8880726,0.0004387345,0.0002455238,0.002277583,0.03140545,0.02846874,0.005969986],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03185917,"threshold_uncertainty_score":0.1065795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03918408295329441,"score_gpt":0.3240491938539534,"score_spread":0.284865110900659,"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."}}