{"id":"W4394138574","doi":"10.6084/m9.figshare.12097164","title":"Additional file 1 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); Computer science; Cancer research; Medicine; Internal medicine; Cancer; Political science","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":[0.001082608,0.00113605,0.001331654,0.001996909,0.0005899697,0.001783718,0.001742571,0.001538237,0.5505662],"category_scores_gemma":[0.01374404,0.0005465754,0.001074779,0.003923204,0.0002852867,0.001477755,0.001260024,0.00107841,0.1018149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009378216,"about_ca_system_score_gemma":0.001377052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009591946,"about_ca_topic_score_gemma":0.0163344,"domain_scores_codex":[0.9994115,0.00009483565,0.00009904466,0.0002137032,0.0000842578,0.00009673203],"domain_scores_gemma":[0.9932539,0.004553084,0.0005800477,0.0005492326,0.0007539849,0.0003097585],"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":[0.0002876,0.00004553957,0.004883246,0.003827352,0.00009875752,0.00004697507,0.00003917341,0.0004386863,0.0001000224,0.0004842783,0.9852237,0.004524729],"study_design_scores_gemma":[0.004763651,0.0002129122,0.05560326,0.003987662,0.000417512,0.0005618171,0.0003231057,0.001571424,0.0006291397,0.006909306,0.9248898,0.0001303358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006797881,0.00001550718,0.00002235444,0.00002536863,0.000003850394,0.000007076309,0.9996948,0.00003994606,0.000122993],"genre_scores_gemma":[0.002538778,0.00008657243,0.0004751278,0.0001631933,0.00002505903,0.0002690477,0.9949691,0.0001391882,0.001333896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5505662,"threshold_uncertainty_score":0.6410627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838083779737094,"score_gpt":0.2483285224149413,"score_spread":0.2299476846175703,"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."}}