{"id":"W7118827682","doi":"10.13140/rg.2.2.13240.20482","title":"Lake Sediment and Surface Water Geochemistry Program: Chapleau–Montreal River–Mississagi River","year":2025,"lang":"","type":"article","venue":"","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sediment; Surface water; Hydrology (agriculture); Water quality; Deposition (geology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004286515,0.0005406325,0.0005011231,0.00003338982,0.0008443988,0.0001688261,0.0003901277,0.0002785814,0.00657619],"category_scores_gemma":[0.000009511997,0.000362838,0.0001579053,0.0001852965,0.00270503,0.0001888445,0.001801793,0.0003270227,0.0005127759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001402519,"about_ca_system_score_gemma":0.00001565925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003468112,"about_ca_topic_score_gemma":0.001029154,"domain_scores_codex":[0.9967371,0.000104805,0.0005313199,0.001065369,0.0005152311,0.001046213],"domain_scores_gemma":[0.9990634,0.00005434564,0.00007712196,0.0004792938,0.00002350686,0.000302369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009218926,0.007009149,0.3588939,0.002829278,0.003115727,0.0003261514,0.1222656,0.001549266,0.05169569,0.0002953652,0.1085033,0.3425947],"study_design_scores_gemma":[0.0030371,0.0004037566,0.2088049,0.0002867364,0.0005021807,0.00001774487,0.003647053,0.002673313,0.1852434,0.002300808,0.5916049,0.001478026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8940812,0.001515724,0.00003964395,0.008953346,0.0002576988,0.0007926432,0.00006375756,0.0001332531,0.09416276],"genre_scores_gemma":[0.8749784,0.001023728,0.0008516213,0.0005182276,0.00005822736,0.00002433121,0.00002217723,0.00001591942,0.1225074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4831016,"threshold_uncertainty_score":0.9998823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784280063352538,"score_gpt":0.2345057232282238,"score_spread":0.2166629225946984,"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."}}