{"id":"W6960316263","doi":"10.1371/journal.pgen.1009254.s004","title":"rs12133735 <i>MDM4</i> lung eQTL.","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gene expression; Expression quantitative trait loci; Microarray analysis techniques; Expression (computer science); Microarray","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":[0.001005847,0.001013821,0.001154573,0.001523727,0.0009703416,0.001166636,0.001479893,0.001260824,0.308126],"category_scores_gemma":[0.003523077,0.0006046976,0.001965308,0.002586634,0.0004338839,0.0007948065,0.000720982,0.001350117,0.03341428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006524234,"about_ca_system_score_gemma":0.001203091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0468045,"about_ca_topic_score_gemma":0.07843199,"domain_scores_codex":[0.9993194,0.00007803285,0.0000358339,0.0003331951,0.000108983,0.0001245339],"domain_scores_gemma":[0.9982877,0.001200811,0.0001063931,0.0001729568,0.0001066186,0.0001254647],"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":[0.001761139,0.0001235678,0.07148761,0.002994748,0.001541037,0.001702464,0.000514962,0.002174455,0.01217522,0.004174059,0.8649991,0.0363517],"study_design_scores_gemma":[0.002185563,0.0002325274,0.4338368,0.001245038,0.002480777,0.003018772,0.0008481335,0.002999957,0.005353998,0.007339732,0.5402582,0.0002005737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.010366,0.000510986,0.002887032,0.000582214,0.0002678662,0.00005015845,0.9772772,0.001371256,0.006687348],"genre_scores_gemma":[0.130849,0.001010205,0.01257969,0.002295133,0.0001828002,0.0008214396,0.8121682,0.003995181,0.03609845],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.308126,"threshold_uncertainty_score":0.9868743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572321852947911,"score_gpt":0.2186247061202034,"score_spread":0.1929014875907243,"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."}}