{"id":"W6927350798","doi":"10.25925/4tba-1s09","title":"CarbonTracker CT-NRT.v2023-2","year":2023,"lang":"ca","type":"dataset","venue":"Global Monitoring Laboratory","topic":"Diphtheria, Corynebacterium, and Tetanus","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001559326,0.003938863,0.003032215,0.004818955,0.001384277,0.004137151,0.005078553,0.003880653,0.1319606],"category_scores_gemma":[0.009525517,0.001415751,0.001923061,0.01065951,0.0006496087,0.002287724,0.002534362,0.002783855,0.2292999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691529,"about_ca_system_score_gemma":0.003738848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02036947,"about_ca_topic_score_gemma":0.0352903,"domain_scores_codex":[0.9980974,0.0002786626,0.0002165577,0.0006702716,0.0004620025,0.000275142],"domain_scores_gemma":[0.9959962,0.00121033,0.0004090849,0.001045209,0.0008854531,0.000453669],"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":[0.0001072739,0.00001484808,0.0005108081,0.0009057704,0.00004464749,0.00001563453,0.00001564277,0.0002467004,0.0001643238,0.0003472862,0.9963463,0.001280689],"study_design_scores_gemma":[0.0004883813,0.00002904999,0.002332024,0.0003302592,0.00007133595,0.00004847766,0.00003830228,0.0005529477,0.0007303421,0.002231205,0.9930944,0.00005328801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000442122,0.00004314324,0.00004165911,0.00002930151,0.00001178343,0.000004622817,0.9986606,0.0007970033,0.0003676811],"genre_scores_gemma":[0.0001788129,0.00003961721,0.0001892869,0.00004081228,0.00000448536,0.00003558875,0.9989685,0.000239466,0.0003035204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1319606,"threshold_uncertainty_score":0.4414523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009535233112317638,"score_gpt":0.2671353612850761,"score_spread":0.2576001281727585,"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."}}