{"id":"W6912846680","doi":"10.5683/sp2/wysaa0","title":"Human atheroma microarray data","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Atheroma; Microarray analysis techniques; Microarray; Macrophage; Gene expression profiling; Arteriosclerosis","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":[0.00105897,0.002073988,0.001620319,0.002563859,0.0007732172,0.001368934,0.002019667,0.001999336,0.04082403],"category_scores_gemma":[0.002928573,0.0006143223,0.001526219,0.003512263,0.0003811507,0.0004403968,0.001268256,0.001047933,0.04253243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006385213,"about_ca_system_score_gemma":0.001701012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009808317,"about_ca_topic_score_gemma":0.01556218,"domain_scores_codex":[0.9989792,0.0001719101,0.00009420874,0.0003338362,0.000261545,0.0001594094],"domain_scores_gemma":[0.9988548,0.0004113238,0.0001042515,0.000279231,0.0002267239,0.0001236665],"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":[0.001278992,0.0002686472,0.005444896,0.00548076,0.0004334441,0.0004152227,0.0001218016,0.003500258,0.0112071,0.001048579,0.9489343,0.02186604],"study_design_scores_gemma":[0.001128806,0.0003108371,0.03008368,0.000615788,0.0005385221,0.0007592743,0.0001551262,0.003051139,0.009178116,0.003011701,0.9510188,0.0001481611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001560829,0.0002926046,0.0004087402,0.00006060997,0.00002831679,0.00003124513,0.9963151,0.0006585022,0.0006442574],"genre_scores_gemma":[0.001432966,0.0001239147,0.0007357365,0.00005653148,0.000007550429,0.0001427902,0.9969293,0.00005209056,0.0005191109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04082403,"threshold_uncertainty_score":0.13657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07015441638165112,"score_gpt":0.3215492607822824,"score_spread":0.2513948444006312,"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."}}