{"id":"W6949674405","doi":"10.5281/zenodo.16753663","title":"Figure on Benchmarking Targeted Gene Cluster Detection for Comment","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Benchmarking; Cluster (spacecraft); Benchmark (surveying); Measure (data warehouse)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003530487,0.003161815,0.001603572,0.003551279,0.001335937,0.003348534,0.002947237,0.001932596,0.5266278],"category_scores_gemma":[0.02767861,0.0009198192,0.002177289,0.003304917,0.000732363,0.002770854,0.002641036,0.002598581,0.3230787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913599,"about_ca_system_score_gemma":0.001841073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01585711,"about_ca_topic_score_gemma":0.01352358,"domain_scores_codex":[0.9966952,0.0004487431,0.0002193056,0.0007090194,0.001628112,0.0002996032],"domain_scores_gemma":[0.9843614,0.004641911,0.0004897621,0.002323025,0.007429789,0.0007540341],"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":[0.0000855517,0.0000156373,0.0001793058,0.0001246555,0.00001159855,0.00003168283,0.00001698036,0.000373881,0.000397782,0.0006610236,0.992564,0.005537919],"study_design_scores_gemma":[0.0003388522,0.00006939431,0.003017734,0.0004700629,0.0000390888,0.0002330397,0.0001042609,0.007712473,0.006506099,0.01041308,0.9709809,0.0001150881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002136978,0.0005019465,0.05066443,0.005186953,0.006710045,0.0006409351,0.5490611,0.3110466,0.07405106],"genre_scores_gemma":[0.01874937,0.0006279263,0.0821448,0.009052104,0.001563072,0.001803978,0.6051407,0.1836992,0.09721882],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5266278,"threshold_uncertainty_score":0.675208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208283234197261,"score_gpt":0.2238700545008737,"score_spread":0.2117872221589011,"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."}}