{"id":"W2007951255","doi":"10.1007/s11030-006-1394-2","title":"Hinge peptide combinatorial libraries for inhilbitors of botulinum neurotoxins and saxitoxin: Deconvolution strategy","year":2006,"lang":"en","type":"article","venue":"Molecular Diversity","topic":"Botulinum Toxin and Related Neurological Disorders","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada; University of Calgary","funders":"Defence Research and Development Canada","keywords":"Saxitoxin; Peptide; Deconvolution; Combinatorial chemistry; Botulinum toxin; Computer science; Hinge; Chemistry; Computational biology; Biology; Toxin; Neuroscience; Engineering; Algorithm; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007322245,0.0001439568,0.0002578598,0.00006947708,0.0001835578,0.0000158356,0.00008624123,0.0002082761,0.00001669461],"category_scores_gemma":[0.00005436957,0.0001331272,0.000141547,0.000124765,0.0002248829,0.0000940585,0.0001856301,0.0001863677,0.000002377812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001573405,"about_ca_system_score_gemma":0.00003556446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001257119,"about_ca_topic_score_gemma":0.000005066141,"domain_scores_codex":[0.9990983,0.0000468212,0.0001902697,0.0002731832,0.0001805991,0.0002108387],"domain_scores_gemma":[0.9995586,0.00005387966,0.00008904357,0.0001417516,0.00006214646,0.0000946256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00722989,0.00394227,0.5067742,0.001288144,0.0007080123,0.001012787,0.0008069116,0.0009208614,0.2918108,0.1630449,0.01847482,0.003986284],"study_design_scores_gemma":[0.02227169,0.005199202,0.7682582,0.0001189722,0.001039083,0.00008055231,0.0002641417,0.002286,0.09771553,0.09451476,0.00732269,0.0009292258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959154,0.0004515751,0.0009112558,0.0005057781,0.0002619434,0.0005510802,0.0000236383,0.00006526512,0.001314061],"genre_scores_gemma":[0.9992127,0.00004287568,0.0002835326,0.0002622042,0.00005861737,0.000004584881,0.00003324736,0.00001251209,0.00008971248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2614839,"threshold_uncertainty_score":0.5428768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176426115980608,"score_gpt":0.2160312638387521,"score_spread":0.204267002678946,"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."}}