{"id":"W6931341845","doi":"10.5281/zenodo.4651577","title":"Supplementary Figures","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Venn diagram; Intersection (aeronautics); Diagram; Network analysis; Social network analysis; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002170336,0.00165438,0.001337207,0.003812447,0.002637596,0.00447567,0.002601638,0.002218839,0.8110111],"category_scores_gemma":[0.01254121,0.0009038084,0.00152993,0.004783851,0.0005323422,0.002803704,0.001810186,0.00226258,0.5203447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002417163,"about_ca_system_score_gemma":0.003307052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007522605,"about_ca_topic_score_gemma":0.01292478,"domain_scores_codex":[0.997971,0.0002826641,0.0001656351,0.0005102824,0.0008994038,0.000171077],"domain_scores_gemma":[0.9934854,0.001997191,0.0003697227,0.0009014882,0.00264061,0.000605611],"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":[0.00005259148,0.00001872264,0.0002219564,0.0004831442,0.00001697169,0.00005586451,0.00002068809,0.0002520196,0.0003017479,0.002216808,0.9828129,0.01354659],"study_design_scores_gemma":[0.00004063421,0.00001410725,0.0006572398,0.0001990125,0.00001506009,0.0001355126,0.00003305712,0.0001978123,0.0003682617,0.003469161,0.9948508,0.00001927449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007756304,0.001811697,0.01255862,0.002056905,0.006824227,0.0003598755,0.87203,0.008890231,0.09469289],"genre_scores_gemma":[0.005351129,0.002311439,0.01614801,0.0034365,0.001284162,0.001014904,0.8245431,0.006631015,0.1392797],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8110111,"threshold_uncertainty_score":0.2695697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588227885006726,"score_gpt":0.2623848886107384,"score_spread":0.2365026097606712,"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."}}