{"id":"W6931182880","doi":"10.5281/zenodo.5102680","title":"Atheta aemula","year":2003,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Human genetics; MEDLINE; Occam's razor","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":[],"consensus_categories":[],"category_scores_codex":[0.0001258317,0.0008186451,0.0003742317,0.00182458,0.001927404,0.0005097324,0.0005153809,0.00045341,0.02945372],"category_scores_gemma":[0.0004416306,0.0002431362,0.00029663,0.0006748459,0.0005035042,0.001535914,0.001473567,0.0008298889,0.01062971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006157259,"about_ca_system_score_gemma":0.0003075894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00500509,"about_ca_topic_score_gemma":0.0124367,"domain_scores_codex":[0.9997998,0.0000197508,0.00001669772,0.00007924506,0.00006175072,0.00002281098],"domain_scores_gemma":[0.9998516,0.00002287311,0.00004635135,0.00002230008,0.00004489704,0.00001195948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002931723,0.0001531307,0.01495672,0.0009005545,0.0001223158,0.002189263,0.001926668,0.001031223,0.0213982,0.01784502,0.04688561,0.8922981],"study_design_scores_gemma":[0.0000387145,0.00008980907,0.07118279,0.0003685667,0.00008569903,0.005742772,0.000699789,0.0004228621,0.002316131,0.003396076,0.9156312,0.00002569596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1778989,0.01925716,0.008993532,0.001215052,0.001305749,0.0004926298,0.004965639,0.00136138,0.78451],"genre_scores_gemma":[0.8134514,0.00789802,0.01185504,0.002389773,0.0006946248,0.0003348045,0.00558841,0.000248182,0.1575399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02945372,"threshold_uncertainty_score":0.0985325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869083185735852,"score_gpt":0.2508729005603477,"score_spread":0.2221820687029892,"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."}}