{"id":"W7084578310","doi":"10.5281/zenodo.17257418","title":"RISK (Regional Inference of Significant Kinships)","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inference; Biological network; Risk assessment; Modular design; Annotation; Work (physics); Social network analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004864187,0.001599017,0.001405234,0.005540887,0.001713133,0.002343142,0.002679219,0.001389508,0.05731674],"category_scores_gemma":[0.02057295,0.0009164054,0.001875711,0.003141998,0.0008289574,0.002720157,0.00365629,0.002338096,0.01580826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005413317,"about_ca_system_score_gemma":0.001571491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003457168,"about_ca_topic_score_gemma":0.004711471,"domain_scores_codex":[0.996899,0.0009324178,0.00015642,0.001240165,0.0005480121,0.0002240502],"domain_scores_gemma":[0.9936465,0.00347123,0.0006393478,0.001382854,0.000468661,0.0003912965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001690669,0.0003199325,0.03789583,0.002836214,0.001675194,0.002241879,0.002226455,0.02971143,0.03341739,0.1042556,0.3151645,0.468565],"study_design_scores_gemma":[0.0007948647,0.0002918196,0.02202663,0.0004442783,0.001112622,0.003820647,0.0007317335,0.3355298,0.04970906,0.2143787,0.3707317,0.00042806],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02540214,0.0007281113,0.8531922,0.0005065229,0.0003699471,0.0002155454,0.03400036,0.07466626,0.01091889],"genre_scores_gemma":[0.2467245,0.0005668119,0.6713711,0.000406047,0.000212934,0.0008356092,0.04989007,0.0190361,0.01095687],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05731674,"threshold_uncertainty_score":0.1917436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177375706189726,"score_gpt":0.2430344571393718,"score_spread":0.2212607000774746,"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."}}