{"id":"W6931342261","doi":"10.5281/zenodo.3951734","title":"tardis-sn/tardis: TARDIS v3.0.dev3484","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Code (set theory); Documentation; Source code; Sequence (biology)","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":[0.0034097,0.003504611,0.001953087,0.004279291,0.001214741,0.007078841,0.006068194,0.003406241,0.6820731],"category_scores_gemma":[0.01646055,0.003129357,0.002455494,0.003347398,0.0008834224,0.005007456,0.005865592,0.00338005,0.7663674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002593327,"about_ca_system_score_gemma":0.00263214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008198294,"about_ca_topic_score_gemma":0.008302412,"domain_scores_codex":[0.998192,0.0002584103,0.0001994133,0.0004049509,0.0006768403,0.0002683461],"domain_scores_gemma":[0.9953585,0.001194948,0.0002998293,0.001110444,0.001400306,0.0006360026],"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":[0.0001620209,0.00001693548,0.0003018611,0.0003474912,0.00002058827,0.00004191684,0.00005048938,0.0001839923,0.0003024862,0.001556843,0.9801643,0.0168511],"study_design_scores_gemma":[0.0001236205,0.00002538119,0.0005093465,0.0001917129,0.00001762139,0.0001212901,0.0000295647,0.0004859155,0.00130946,0.003154104,0.993984,0.00004789835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0006797632,0.0005995349,0.02274756,0.001074634,0.00115929,0.0003298054,0.2711436,0.579462,0.1228038],"genre_scores_gemma":[0.004314117,0.0006303061,0.01823639,0.001307974,0.000281422,0.0007827354,0.3752405,0.4903164,0.1088902],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.6820731,"threshold_uncertainty_score":0.4534842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03223308076379298,"score_gpt":0.254588074297832,"score_spread":0.222354993534039,"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."}}