{"id":"W2113494925","doi":"10.1111/j.1745-6584.2006.00264.x","title":"An Excel Macro for Generating Trilinear Plots","year":2006,"lang":"en","type":"article","venue":"Ground Water","topic":"Multidisciplinary Science and Engineering Research","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"","keywords":"Worksheet; Macro; Visual Basic for Applications; Microsoft excel; Computer science; Ms excel; Computer graphics (images); Plot (graphics); Set (abstract data type); Graphics; Visual Basic; Simple (philosophy); Scatter plot; Engineering drawing; Programming language; Software; Software engineering; Mathematics; Operating system; Statistics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002388278,0.0001091679,0.0001495612,0.0001638767,0.0003681895,0.0006303938,0.0006121554,0.0000550346,0.0002389717],"category_scores_gemma":[0.0001056659,0.00006090977,0.0000787492,0.0002171102,0.00006576822,0.000623534,0.00008171104,0.00007552685,0.0003910292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002367363,"about_ca_system_score_gemma":0.00002030323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001218668,"about_ca_topic_score_gemma":0.00004527422,"domain_scores_codex":[0.997861,0.00004625887,0.000351401,0.0004469195,0.0007875794,0.0005067987],"domain_scores_gemma":[0.9990505,0.0002040383,0.00002603625,0.0004514554,0.000161924,0.0001060353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002049747,0.0004462725,0.02366767,0.00004013917,0.00001770217,0.00005983187,0.00353837,0.1150687,0.7408949,0.003724639,0.03326356,0.0790733],"study_design_scores_gemma":[0.0007285546,0.0002810287,0.01798068,0.000005801088,0.000004108919,0.00001321373,0.0003768055,0.8863745,0.02823112,0.02550514,0.04014875,0.0003503177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508774,0.0000210539,0.04771123,0.0003467452,0.0003299633,0.0001745266,0.00001034344,0.00004975103,0.0004790159],"genre_scores_gemma":[0.9833007,6.087291e-7,0.006108778,0.00004582584,0.0005281239,0.00002910003,0.00002624896,0.00001307096,0.009947569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7713058,"threshold_uncertainty_score":0.6078902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1272206846355551,"score_gpt":0.420520294408648,"score_spread":0.2932996097730929,"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."}}