{"id":"W2947106675","doi":"10.1515/cclm-2019-0123","title":"Screening of chemical libraries in pursuit of kallikrein-5 specific inhibitors for the treatment of inflammatory dermatoses","year":2019,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Biological Stains and Phytochemicals","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Lunenfeld-Tanenbaum Research Institute; Ontario Institute for Cancer Research; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Kallikrein; Pharmacology; Medicine; Chemistry; Biochemistry; Enzyme","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":[0.0002322477,0.0007157913,0.0008083724,0.001227637,0.0002266811,0.0005476852,0.0004689971,0.0004242595,0.004578587],"category_scores_gemma":[0.0003077621,0.0002509718,0.0005846095,0.0010087,0.0001692856,0.0003018648,0.0003994585,0.000630205,0.0009825071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003371958,"about_ca_system_score_gemma":0.0004383418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006159633,"about_ca_topic_score_gemma":0.002013919,"domain_scores_codex":[0.9998259,0.00002722352,0.0000127061,0.00003602844,0.00006152222,0.0000366375],"domain_scores_gemma":[0.9999036,0.00001919638,0.00001740955,0.000006195135,0.0000292016,0.00002444263],"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":[0.001296477,0.00100981,0.001524785,0.003294091,0.0003466356,0.001756488,0.0001409383,0.008197148,0.8932036,0.001473583,0.003409726,0.08434676],"study_design_scores_gemma":[0.002298201,0.0189098,0.01284501,0.0008499825,0.001795094,0.005251845,0.0003811476,0.009565232,0.8432792,0.001413901,0.1032095,0.0002010183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8693039,0.06746086,0.02078249,0.0009726617,0.0002998789,0.001993108,0.009206697,0.001109111,0.02887116],"genre_scores_gemma":[0.9310275,0.03480348,0.01546565,0.0007144063,0.00006213114,0.0004625458,0.007349147,0.00008136487,0.01003366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004578587,"threshold_uncertainty_score":0.0153169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04541697189279395,"score_gpt":0.3232771168403046,"score_spread":0.2778601449475107,"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."}}