{"id":"W4229955405","doi":"10.1515/iupac.83.0415","title":"Microarray","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Computer science; Process (computing); Multidisciplinary approach; Data science; Component (thermodynamics); Management science; Engineering; Biology; Sociology; Linguistics; Mathematics","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":[0.001866874,0.002447797,0.001992473,0.003298062,0.001041415,0.003038983,0.004212175,0.001853306,0.06421737],"category_scores_gemma":[0.006431103,0.0009443806,0.001689512,0.005946994,0.0005140483,0.001904284,0.002365674,0.002555507,0.1357362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001968544,"about_ca_system_score_gemma":0.002373634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01282593,"about_ca_topic_score_gemma":0.03153767,"domain_scores_codex":[0.9978269,0.0003563608,0.0002930139,0.0006302911,0.000656217,0.0002371938],"domain_scores_gemma":[0.9972217,0.0005922352,0.0003603569,0.0009817886,0.0006189962,0.0002249151],"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":[0.0001231997,0.00003100445,0.001011218,0.0008205016,0.00004202298,0.00003161204,0.00002474318,0.0003962009,0.0004624524,0.0008337538,0.9909343,0.005289142],"study_design_scores_gemma":[0.0001722303,0.00002380304,0.00403703,0.0002249286,0.00003657135,0.0001200173,0.00004987582,0.0005045737,0.0009380676,0.002114009,0.9917424,0.00003655297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001550713,0.00009491757,0.0003281767,0.00006509104,0.0000279902,0.00002109487,0.9969463,0.001062266,0.001299207],"genre_scores_gemma":[0.0002171528,0.00005490111,0.0005813061,0.00005218644,0.000003940538,0.00006736626,0.998391,0.00008211326,0.0005500571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06421737,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112135052838251,"score_gpt":0.3812798266714835,"score_spread":0.3700663213876584,"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."}}