{"id":"W3047730769","doi":"","title":"Primary weathering rates, water transit times and concentration-discharge relations: A theoretical analysis for the critical zone","year":2017,"lang":"en","type":"article","venue":"Lancaster EPrints (Lancaster University)","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Svenska Forskningsrådet Formas; Kempe Foundation","keywords":"Weathering; Environmental science; Primary (astronomy); Transit (satellite); Geology; Geochemistry; Public transport; Waste management; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003022621,0.0001679259,0.0002342585,0.00004093776,0.0008486045,0.0001857781,0.0004055433,0.00009807309,0.004209835],"category_scores_gemma":[0.00005756807,0.0001102143,0.0001159778,0.000102128,0.0009720922,0.0003678544,0.0003347339,0.0001668131,0.0003129798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006480703,"about_ca_system_score_gemma":0.000006782441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003477308,"about_ca_topic_score_gemma":0.00004245464,"domain_scores_codex":[0.9987822,0.00008067724,0.0001588987,0.0004369574,0.0001652699,0.0003760225],"domain_scores_gemma":[0.9990662,0.0002463385,0.00005621579,0.0004950512,0.0000181506,0.0001180731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005029624,0.0001813604,0.9542691,0.00004540317,0.0005752564,0.00009671235,0.002741047,0.0003225123,0.004100716,0.0321053,0.0001834427,0.004876179],"study_design_scores_gemma":[0.001358949,0.0001056123,0.9106169,0.00003596715,0.0007776072,0.00002617329,0.0001145725,0.05687149,0.0007204643,0.001626994,0.02730016,0.000445113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8760818,0.00001725883,0.09179479,0.004260212,0.00009601862,0.0003606359,0.00002489591,0.00004006709,0.02732436],"genre_scores_gemma":[0.9928836,0.00000633835,0.001763626,0.0002366186,0.00004614707,0.000003493388,0.00001118296,0.00001241316,0.005036536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1168019,"threshold_uncertainty_score":0.9967005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679533744698302,"score_gpt":0.2326658483591036,"score_spread":0.2158705109121206,"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."}}