{"id":"W6930297327","doi":"10.5281/zenodo.10913986","title":"Cilix glaucata","year":2020,"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":"Bombyx mori; Bombycidae; Bombyx; Central asia; Southeast asia","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":[0.000115488,0.0007257108,0.0003132211,0.002371021,0.001608174,0.0004918451,0.0005774026,0.0005266372,0.04484744],"category_scores_gemma":[0.0002273603,0.0001989244,0.0003511571,0.001392359,0.0006195622,0.0006296301,0.0007869889,0.0007443126,0.02486146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125667,"about_ca_system_score_gemma":0.0004877732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04356147,"about_ca_topic_score_gemma":0.07734933,"domain_scores_codex":[0.9998203,0.00001110685,0.00001532828,0.00006384816,0.00005884133,0.00003051417],"domain_scores_gemma":[0.9998952,0.00001268078,0.00003380555,0.00001388566,0.00003069775,0.00001364955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002108774,0.00007776266,0.01743433,0.0005774933,0.00003423588,0.001650788,0.0009556551,0.0003254712,0.01862487,0.009496302,0.06522887,0.8853834],"study_design_scores_gemma":[0.00002325477,0.0001155806,0.1656139,0.00022672,0.00004645367,0.003353971,0.0004259143,0.0001361332,0.002354112,0.001575854,0.8261039,0.00002422506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06096083,0.02100912,0.004200095,0.001459566,0.001256477,0.0004122727,0.01056812,0.00146065,0.8986729],"genre_scores_gemma":[0.4184154,0.01384872,0.009341428,0.002171898,0.0007373099,0.0002950698,0.02924226,0.0002717059,0.5256762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04484744,"threshold_uncertainty_score":0.1500296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04224119410398458,"score_gpt":0.2504347586830966,"score_spread":0.208193564579112,"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."}}