{"id":"W4399097779","doi":"10.1101/2024.05.23.595625","title":"TSPDB: A curated resource of tailspike proteins with potential applications in phage research","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Resource (disambiguation); Computational biology; Computer science; Biology","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":[0.001846985,0.003230979,0.003596136,0.01286117,0.001871787,0.003194869,0.003447041,0.002325346,0.020308],"category_scores_gemma":[0.007036753,0.001268894,0.002053928,0.014702,0.0005182388,0.002416855,0.003833791,0.00232533,0.03114749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055693,"about_ca_system_score_gemma":0.004565923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00446175,"about_ca_topic_score_gemma":0.004624502,"domain_scores_codex":[0.9984818,0.0001912745,0.0002455577,0.0004099261,0.0004595254,0.000211829],"domain_scores_gemma":[0.9969766,0.0007594987,0.000490882,0.0004658525,0.0006978358,0.0006093174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003098182,0.0003923703,0.007798261,0.02869682,0.0009638309,0.001898834,0.0007324869,0.002891588,0.10667,0.004906786,0.7677507,0.07420012],"study_design_scores_gemma":[0.0004921632,0.0002331391,0.01622519,0.00230837,0.0006765983,0.001578993,0.0003532085,0.006592323,0.02835797,0.005160683,0.9377215,0.0002998456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01299108,0.008162133,0.01891373,0.000390758,0.0002779563,0.0002713003,0.9152471,0.03800198,0.005743918],"genre_scores_gemma":[0.007162723,0.002020284,0.02109861,0.0001676407,0.00006153563,0.0002671047,0.9649099,0.003251258,0.001060932],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.020308,"threshold_uncertainty_score":0.06793708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493362554505469,"score_gpt":0.2556933664876321,"score_spread":0.2407597409425774,"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."}}