{"id":"W4394249130","doi":"10.6084/m9.figshare.12097173","title":"Additional file 3 of E. coli diversity: low in colorectal cancer","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Colorectal cancer; Diversity (politics); Biology; Cancer; Medicine; Geography; Internal medicine; Sociology; Anthropology","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":[0.001049885,0.001381721,0.001525801,0.00211114,0.0007217058,0.002234206,0.00199211,0.001889476,0.5503947],"category_scores_gemma":[0.01214818,0.0006199081,0.001310179,0.003802438,0.0003291339,0.001523609,0.001373316,0.001316646,0.1281101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022579,"about_ca_system_score_gemma":0.001580832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003328,"about_ca_topic_score_gemma":0.01799975,"domain_scores_codex":[0.9993693,0.00009094761,0.00009432502,0.000235419,0.00009738476,0.0001126155],"domain_scores_gemma":[0.9944986,0.003529167,0.0004296704,0.0005208866,0.0007089565,0.0003127817],"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":[0.0002996209,0.00004934882,0.004021374,0.003568092,0.0001002862,0.00005365225,0.00003712731,0.000495501,0.0001594059,0.0004965746,0.9866355,0.004083476],"study_design_scores_gemma":[0.003627066,0.0001534123,0.03173083,0.002904386,0.00030618,0.0004152808,0.0002339403,0.001304261,0.0007026511,0.006079094,0.9524326,0.0001103752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005152762,0.00001490861,0.00002723387,0.00002261772,0.00000476581,0.000006963542,0.9996819,0.00006209794,0.000127947],"genre_scores_gemma":[0.00137084,0.00005990983,0.0003786992,0.0001386254,0.0000169131,0.000177666,0.9967445,0.0001420109,0.0009709045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5503947,"threshold_uncertainty_score":0.6413075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179884622703415,"score_gpt":0.2478836842400785,"score_spread":0.2298952219697369,"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."}}