{"id":"W6931190970","doi":"10.5281/zenodo.3627731","title":"tardis-sn/tardis: TARDIS v($VERSION)","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific and Engineering Research Topics","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pipeline transport; Merge (version control); Search engine indexing; Documentation; Pipeline (software)","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005252577,0.0003382969,0.0003735892,0.0004662575,0.001123959,0.00110341,0.001964611,0.0002691905,0.2916083],"category_scores_gemma":[0.0008458847,0.0003573606,0.0001995153,0.0008009457,0.000238082,0.0001451287,0.002063778,0.0007535608,0.1595583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002036876,"about_ca_system_score_gemma":0.000009578711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008012028,"about_ca_topic_score_gemma":0.000001878828,"domain_scores_codex":[0.9968087,0.0002587476,0.000310649,0.0008667894,0.001088454,0.000666666],"domain_scores_gemma":[0.9981211,0.00002279084,0.000142047,0.0009760373,0.0002416406,0.0004964237],"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":[0.00002559982,0.00005306887,0.000001402786,0.0002255956,0.0001514685,0.0001545721,0.0001792072,0.00003396451,0.0002460163,0.0007080999,0.9844096,0.01381138],"study_design_scores_gemma":[0.0004456149,0.00007521735,0.0001095565,0.0001075953,0.00003730198,0.00008374048,0.0001660115,0.0002609951,0.00006139629,0.00003634494,0.9982502,0.0003659612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008751751,0.0003238084,0.002957024,0.0004714277,0.001042486,0.0005309645,0.002123657,0.002784752,0.9896784],"genre_scores_gemma":[0.004168348,0.0002750685,0.0006645784,0.0001532814,0.001558198,1.461348e-7,0.009670666,0.01204941,0.9714603],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1320499,"threshold_uncertainty_score":0.9999335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02733142529947514,"score_gpt":0.2399233690522818,"score_spread":0.2125919437528067,"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."}}