{"id":"W6892863383","doi":"10.5281/zenodo.1292315","title":"tardis-sn/tardis: TARDIS v2.0.2 release","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001425287,0.0009173135,0.0008559075,0.001479106,0.002113165,0.001591643,0.003613661,0.0005836645,0.5949157],"category_scores_gemma":[0.00155006,0.0009947839,0.0003797506,0.001664115,0.001005908,0.0003402402,0.003491705,0.000943282,0.8395416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007349905,"about_ca_system_score_gemma":0.00001983868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002254538,"about_ca_topic_score_gemma":0.000008403745,"domain_scores_codex":[0.9930001,0.001370027,0.0007487631,0.001843565,0.00160907,0.001428434],"domain_scores_gemma":[0.9946163,0.00003316518,0.0006972661,0.002751749,0.00102564,0.000875869],"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":[0.0001649133,0.0002604675,0.000002510156,0.0002251761,0.0004404659,0.00008697648,0.0004558731,0.00001001377,0.0004967149,0.0008882427,0.9868281,0.01014048],"study_design_scores_gemma":[0.001144818,0.0002991209,0.00006410223,0.0003302412,0.0001757749,0.0001745798,0.0002030226,0.00008825881,0.0001152034,0.00009178573,0.9962463,0.001066769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009780544,0.0004795618,0.0006552606,0.0002494151,0.0005323747,0.001504155,0.003833572,0.01409779,0.9785501],"genre_scores_gemma":[0.002664987,0.0002903674,0.0007527699,0.0002625601,0.002843142,2.981014e-7,0.01473534,0.1529434,0.8255071],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2446259,"threshold_uncertainty_score":0.9994448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647856363703844,"score_gpt":0.2458070966103814,"score_spread":0.219328532973343,"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."}}