{"id":"W6999281846","doi":"","title":"Colours of Natural Waters: 2. Observation of Spectral Variations in British Columbia Rivers","year":2009,"lang":"en","type":"article","venue":"Research Exchange (Washington State University)","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Spectral analysis; Spectral properties; Spatial relation","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":[],"consensus_categories":[],"category_scores_codex":[0.00071768,0.00005464258,0.000142046,0.0002595028,0.0001032538,0.00003855022,0.0003038998,0.00005865921,0.0004286905],"category_scores_gemma":[0.00009020526,0.00008406082,0.00004458693,0.001290731,0.000201114,0.0005093078,0.0001198681,0.0002142121,0.000006160047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004639846,"about_ca_system_score_gemma":0.00003790492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03443445,"about_ca_topic_score_gemma":0.04942467,"domain_scores_codex":[0.9986401,0.0002111001,0.0001649185,0.0002078814,0.0004797404,0.0002962709],"domain_scores_gemma":[0.9995344,0.00008113419,0.00009519174,0.0001415329,0.00007994761,0.0000678399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003703891,0.001668127,0.4004501,0.0003216359,0.0000934284,0.0008803097,0.03227394,0.0009592352,0.3495511,0.001741189,0.04745725,0.1642333],"study_design_scores_gemma":[0.001522991,0.0006867371,0.9544965,0.000178699,0.00001497637,0.000003693463,0.002495807,0.001642596,0.02044809,0.0068199,0.01134855,0.00034145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953885,0.00001375197,0.000224182,0.0002078576,0.00002597042,0.0003171403,0.00003331025,0.00002675422,0.003762539],"genre_scores_gemma":[0.9922231,0.0003204523,0.001412665,0.00001553994,0.000009094073,6.618964e-7,0.00002974056,0.000004879016,0.005983888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5540464,"threshold_uncertainty_score":0.9719954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741313544889518,"score_gpt":0.2627454216381648,"score_spread":0.2353322861892697,"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."}}