{"id":"W4394424277","doi":"10.6084/m9.figshare.23907939","title":"Nutrient analysis in stormwater samples","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stormwater; Environmental science; Stormwater management; Geography; Surface runoff; Ecology; Biology","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":[0.001269028,0.001691691,0.001342182,0.002602925,0.001367162,0.001907233,0.001986755,0.001493719,0.03116994],"category_scores_gemma":[0.00367254,0.0007456811,0.001265628,0.006346856,0.0004400031,0.0006618901,0.001445995,0.001198519,0.02680348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003821734,"about_ca_system_score_gemma":0.006476691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3820444,"about_ca_topic_score_gemma":0.5384728,"domain_scores_codex":[0.9987873,0.0001001007,0.0001368392,0.0003926126,0.0003546331,0.0002286227],"domain_scores_gemma":[0.997698,0.0002532304,0.0002109109,0.0004522008,0.001163579,0.000222128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002310874,0.00004231858,0.01172363,0.00155521,0.0001149661,0.00008094266,0.0001464479,0.0006478928,0.001241832,0.00082152,0.9772578,0.006136317],"study_design_scores_gemma":[0.0003260828,0.00002410485,0.04531894,0.0003932705,0.00008939688,0.00004601915,0.0001778319,0.0005045424,0.001039751,0.001000343,0.9510281,0.0000515022],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003691084,0.00002881345,0.00004776155,0.00002495068,0.000007167119,0.0000151321,0.9988617,0.00007815003,0.0005673109],"genre_scores_gemma":[0.0006619882,0.00004411401,0.0003078076,0.00002674653,0.00000337241,0.0001026781,0.9979452,0.00003578899,0.0008722995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3820444,"threshold_uncertainty_score":0.7596414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312579142151094,"score_gpt":0.2466368720521189,"score_spread":0.2153789578370095,"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."}}