{"id":"W6941418305","doi":"10.1371/journal.pcbi.1011079.s008","title":"Boxplot of COPD Candidate Genes (&lt;i&gt;CCG)&lt;/i&gt;.","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Candidate gene; COPD; Gene; Cohort; Correlation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006183827,0.00126732,0.001366335,0.002007775,0.0006773353,0.001011145,0.0007332042,0.0006950129,0.3488408],"category_scores_gemma":[0.002153642,0.0003814626,0.001186287,0.002775681,0.0004163214,0.0007741307,0.0005443634,0.001253909,0.05512144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005407592,"about_ca_system_score_gemma":0.0009013098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257619,"about_ca_topic_score_gemma":0.01548431,"domain_scores_codex":[0.9994932,0.00006439306,0.00002102858,0.0002454279,0.000080702,0.00009529084],"domain_scores_gemma":[0.9983445,0.0009142039,0.0001489925,0.0001446598,0.0002749088,0.0001726838],"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":[0.001402514,0.0002242429,0.03525406,0.003170168,0.0004867747,0.000508802,0.0002371895,0.002609008,0.0174603,0.003381955,0.9015989,0.03366603],"study_design_scores_gemma":[0.001156817,0.0005385649,0.3802011,0.0009844047,0.0005668933,0.001548973,0.001574842,0.009136516,0.009250626,0.008558922,0.5862547,0.00022757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01960026,0.001082116,0.008108795,0.0005057782,0.0007129033,0.0001789935,0.9450332,0.01019524,0.01458276],"genre_scores_gemma":[0.1353628,0.0009658017,0.03245653,0.001724063,0.0002290498,0.0007206186,0.7742137,0.008011092,0.04631637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3488408,"threshold_uncertainty_score":0.9287996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123402590174293,"score_gpt":0.2249846694154755,"score_spread":0.2037506435137326,"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."}}