{"id":"W4414032565","doi":"10.1101/2025.09.03.673926","title":"Hydra domain drives SNF2L multimerization and marks ISWI diversification in parasites","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; French Infrastructure for Integrated Structural Biology; Fondation pour la Recherche Médicale; Agence Nationale de la Recherche; Centre National de la Recherche Scientifique; Alliance Française contre les Maladies Parasitaires","keywords":"Lernaean Hydra; Diversification (marketing strategy); Domain (mathematical analysis); Biology; Computational biology; Computer science; Communication; Cell biology; Business; Psychology","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":[0.0001063953,0.0001527669,0.0001227133,0.0001232567,0.0001418178,0.0002519719,0.000201284,0.0001939724,0.001221424],"category_scores_gemma":[0.00009497094,0.0001328609,0.0001333698,0.00009184077,0.00028448,0.0001032919,0.0003028876,0.0003707134,0.0004918421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003174746,"about_ca_system_score_gemma":0.0001413061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000584015,"about_ca_topic_score_gemma":0.0009352647,"domain_scores_codex":[0.9999125,0.00001349929,0.000007162217,0.00002083584,0.00002529221,0.00002073069],"domain_scores_gemma":[0.9999012,0.00001630832,0.00003091561,0.0000153537,0.000007632413,0.00002869746],"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":[0.00004423976,0.000008717716,0.000220008,0.0000108778,0.000002120495,0.00003303078,0.000008730012,0.00002568831,0.9992611,0.00007484196,0.00003984228,0.0002707712],"study_design_scores_gemma":[0.000008642183,0.00003495968,0.004597191,0.000003420377,0.000003507905,0.0001719471,0.00003219331,0.001305926,0.9921973,0.00003939269,0.001602119,0.000003267103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977688,0.0001822374,0.001126118,0.00005722653,0.000008855597,0.000008395682,0.0001676381,0.00003334554,0.000647558],"genre_scores_gemma":[0.9975636,0.00005574656,0.0007229554,0.00002164618,0.000002395617,0.000007797188,0.0002063344,0.00002382663,0.001395789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001221424,"threshold_uncertainty_score":0.004086077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00959807460499698,"score_gpt":0.232005377808788,"score_spread":0.222407303203791,"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."}}