{"id":"W4411657351","doi":"10.51847/keznps1","title":"10.51847/KEznps1","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enzyme; Biosynthesis; Chemistry; Biochemistry; Ligand (biochemistry); Drug; Key (lock); Lipid metabolism; Pharmacology; Biology; Receptor; Ecology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002901766,0.001645545,0.0009105848,0.001279883,0.0007946865,0.002238043,0.001142826,0.002382786,0.8333142],"category_scores_gemma":[0.0006186052,0.0005514115,0.000593537,0.001430077,0.0005860243,0.001549184,0.001789867,0.001262434,0.9017338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008942948,"about_ca_system_score_gemma":0.0005752781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001351508,"about_ca_topic_score_gemma":0.0009441629,"domain_scores_codex":[0.9997599,0.00001589048,0.00001804449,0.00007871037,0.00008437467,0.00004319311],"domain_scores_gemma":[0.9997072,0.00003413414,0.00004086088,0.00004988218,0.00007403806,0.00009393742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008625872,0.00030818,0.00236969,0.001027185,0.00006139975,0.0007427061,0.00008882485,0.001781171,0.02678147,0.009708266,0.2659943,0.6902742],"study_design_scores_gemma":[0.0001071416,0.00007738986,0.003023245,0.0001817137,0.00002737489,0.001075249,0.00007077312,0.001342886,0.007006553,0.004540194,0.9825136,0.00003392109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01474302,0.006963372,0.01068598,0.004981816,0.002505294,0.0002751641,0.01778586,0.0114206,0.9306389],"genre_scores_gemma":[0.02622373,0.002243808,0.003947428,0.001116432,0.0002512024,0.0001317969,0.01045847,0.0006574412,0.9549695],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1666858,"threshold_uncertainty_score":0.237757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040757596899176,"score_gpt":0.2287361180947922,"score_spread":0.2183285421258005,"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."}}