{"id":"W96575948","doi":"10.1289/ehp.112-1277123","title":"Microarray Data Standards: An Open Letter","year":2004,"lang":"en","type":"letter","venue":"Environmental Health Perspectives","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Library science; Art history; Classics; History; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03689492,0.001192145,0.002280906,0.001902146,0.006325121,0.009407554,0.006899394,0.08420642,0.00920089],"category_scores_gemma":[0.1473888,0.001598956,0.003142789,0.00285233,0.008318897,0.009769325,0.004065407,0.06519561,0.01412214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009684063,"about_ca_system_score_gemma":0.01409376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005119484,"about_ca_topic_score_gemma":0.004247139,"domain_scores_codex":[0.9437373,0.01307532,0.01076779,0.004605669,0.02566338,0.00215057],"domain_scores_gemma":[0.8848484,0.05984553,0.004711016,0.006939282,0.0367649,0.006890877],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002054194,0.00004436538,0.0001468862,0.00007382552,0.000007389909,0.0003751691,0.0001600195,0.00008903087,0.0002446777,0.006018219,0.9737873,0.01903266],"study_design_scores_gemma":[0.00002357075,0.00003448921,0.0002543382,0.0002080287,0.000008443075,0.0005595227,0.0001662631,0.0002610608,0.0001834525,0.009247029,0.9890203,0.00003345006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001084722,0.0005396759,0.0009451663,0.9553871,0.04027287,0.00002940906,0.00004665024,0.0001014994,0.00256914],"genre_scores_gemma":[0.001126017,0.0007434573,0.003058495,0.9553975,0.03188145,0.0001131852,0.00008571593,0.00008532056,0.007508746],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9631051,"threshold_uncertainty_score":0.1951214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03773878982813426,"score_gpt":0.3508070974694022,"score_spread":0.3130683076412679,"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."}}