{"id":"W771171050","doi":"","title":"An integrated water quality modeling system with dynamic remote sensing feedback","year":2007,"lang":"en","type":"article","venue":"RIT Scholar Works (Rochester Institute of Technology)","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Agriculture; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Water quality; Remote sensing; Quality (philosophy); System dynamics; Computer science; Environmental science; Geology; Artificial intelligence","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":[0.0008912809,0.0009066276,0.0008046244,0.0006686322,0.0006403792,0.001180975,0.001686314,0.0005611558,0.003348036],"category_scores_gemma":[0.001300487,0.0005912644,0.0005391481,0.0007032014,0.0002774436,0.001239079,0.001346906,0.0007019553,0.0009028457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471352,"about_ca_system_score_gemma":0.00251974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03374881,"about_ca_topic_score_gemma":0.01682257,"domain_scores_codex":[0.9994681,0.00005791624,0.00004080817,0.0001911048,0.0001943673,0.00004763983],"domain_scores_gemma":[0.9993524,0.000087917,0.00004575682,0.000122647,0.0003237846,0.00006753403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005593677,0.0007641028,0.02627617,0.0001461842,0.0002176067,0.0002512811,0.0004554068,0.7215816,0.03476726,0.004826468,0.01080786,0.1993467],"study_design_scores_gemma":[0.00007825437,0.00005188919,0.001722199,0.00000378213,0.00002632454,0.000009229332,0.00001237219,0.9908475,0.002699551,0.0006122571,0.00391492,0.00002175351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1822239,0.0001290687,0.73106,0.0004126191,0.0002101846,0.001084426,0.004412372,0.06645902,0.01400842],"genre_scores_gemma":[0.7781971,0.0001112394,0.2073487,0.0001558956,0.00006764897,0.0008293693,0.005402185,0.0007584701,0.007129381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03374881,"threshold_uncertainty_score":0.06710476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279118349373165,"score_gpt":0.2727571470848483,"score_spread":0.2499659635911167,"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."}}