{"id":"W4400477573","doi":"10.1101/2024.07.04.602122","title":"Heli-SMACC: Helicase-targeting SMAll Molecule Compound Collection","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium","funders":"","keywords":"Helicase; Chemistry; Biochemistry","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":[0.001567095,0.002404981,0.002675153,0.007617162,0.0007162433,0.002216042,0.002735919,0.001088427,0.03366778],"category_scores_gemma":[0.002940609,0.0007303809,0.001422334,0.00725665,0.0003732473,0.001469741,0.001635266,0.001531661,0.02536533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245055,"about_ca_system_score_gemma":0.00350843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002196292,"about_ca_topic_score_gemma":0.004278595,"domain_scores_codex":[0.9987236,0.000163918,0.0001425822,0.0002076548,0.000641401,0.0001208568],"domain_scores_gemma":[0.9980672,0.0003383473,0.0004111829,0.0002740629,0.0005782671,0.0003310246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00337925,0.0007551236,0.005382534,0.01765982,0.0006830139,0.001265179,0.0001663515,0.006385593,0.1168642,0.006080442,0.6756809,0.1656976],"study_design_scores_gemma":[0.0007314483,0.0008992936,0.005454133,0.0007088909,0.0004930143,0.00119557,0.00004559743,0.004843134,0.05002201,0.001607422,0.9338053,0.0001941662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01763619,0.01253341,0.008655455,0.000603187,0.0002175922,0.001288196,0.912275,0.02857853,0.01821249],"genre_scores_gemma":[0.01917298,0.004556531,0.01499261,0.0005469012,0.00007641304,0.0007590387,0.9548891,0.001294207,0.003712162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03366778,"threshold_uncertainty_score":0.11263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009646918847960899,"score_gpt":0.2445881871849221,"score_spread":0.2349412683369612,"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."}}