{"id":"W4220733796","doi":"10.5194/egusphere-egu22-9657","title":"Particulate organic carbon composition and landscape characteristics in the Peel River Watershed, Canada","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Watershed; Tributary; Environmental science; Total organic carbon; Hydrology (agriculture); Environmental chemistry; Chemistry; Geology; Oceanography; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001633153,0.0002302717,0.000227646,0.001144254,0.002201919,0.001141255,0.0008283435,0.0002671991,0.00164756],"category_scores_gemma":[0.0005305955,0.0001954146,0.000186719,0.003027908,0.000822393,0.0002892113,0.0005118487,0.0003279005,0.0002195574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01914095,"about_ca_system_score_gemma":0.01680262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945894,"about_ca_topic_score_gemma":0.9981325,"domain_scores_codex":[0.9997389,0.000009059547,0.000009485609,0.00007564978,0.00008151424,0.00008530708],"domain_scores_gemma":[0.9995153,0.00002626618,0.00004489658,0.000012788,0.0002723556,0.0001283834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000844152,0.00005364968,0.9821264,0.00003738546,0.00004768758,0.0002323621,0.001826179,0.0002890266,0.001910818,0.0003002298,0.001758575,0.01133331],"study_design_scores_gemma":[0.000003820431,0.00000909687,0.9962022,0.00001426806,0.000009417213,0.00005481905,0.001998016,0.0003631338,0.0001202385,0.00003460821,0.00118222,0.000008209055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995249,0.0001764382,0.00008672903,0.0001069597,0.000003050213,0.00002489173,0.002423654,0.00001099226,0.001918329],"genre_scores_gemma":[0.9955171,0.0002377987,0.0003403502,0.00006251127,0.000002236393,0.00002133669,0.001959159,0.000008553942,0.00185098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01914095,"threshold_uncertainty_score":0.138878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150523243942703,"score_gpt":0.2056357690282206,"score_spread":0.1841305365887936,"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."}}