{"id":"W7098165676","doi":"","title":"BMC Research Notes BioMed Central","year":2008,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peripheral blood mononuclear cell; Expression (computer science); Microarray analysis techniques; Gene expression; Gene; 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":["insufficient_payload"],"category_scores_codex":[0.002914783,0.001388556,0.001575813,0.00349416,0.0009805603,0.003482173,0.003135186,0.002597984,0.5803455],"category_scores_gemma":[0.01162256,0.0006132407,0.0007270378,0.004330676,0.0006776135,0.001440754,0.001472215,0.001631664,0.2716282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803305,"about_ca_system_score_gemma":0.008603725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006346724,"about_ca_topic_score_gemma":0.010577,"domain_scores_codex":[0.9982283,0.00024241,0.0002506383,0.0002887072,0.0007595277,0.0002304457],"domain_scores_gemma":[0.9926172,0.001189037,0.0004944342,0.001228865,0.003397889,0.001072599],"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":[0.0001706795,0.00002873364,0.0003505622,0.00380444,0.00003659019,0.0001842644,0.00009340336,0.000118465,0.001251136,0.006799083,0.7895911,0.1975716],"study_design_scores_gemma":[0.00009058222,0.00006233681,0.001701834,0.0008192874,0.00005725374,0.0002121881,0.000118506,0.0001610687,0.0006229536,0.003607596,0.9925333,0.00001305894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006935657,0.0624015,0.02292514,0.1137689,0.115125,0.002085918,0.2181982,0.008363969,0.4501957],"genre_scores_gemma":[0.04603354,0.044046,0.04022549,0.01017017,0.02321881,0.00181812,0.1611547,0.002186147,0.671147],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4196545,"threshold_uncertainty_score":0.5985863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3636598232644678,"score_gpt":0.2998205295310102,"score_spread":0.06383929373345754,"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."}}