{"id":"W7044922692","doi":"","title":"Achtergrondconcentraties in het oppervlaktewater van HHNK : Deelrapport 34 : Analyse achtergrondconcentraties voor stikstof en fosfor op basis van water- en nutriëntenbalansen voor deelgebied Wieringermeer West","year":2014,"lang":"nl","type":"other","venue":"Socio-Environmental Systems Modeling","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Center (category theory)","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":[0.001521184,0.0007019527,0.001260082,0.001165879,0.0005324891,0.002838435,0.0008600472,0.0009741728,0.01080306],"category_scores_gemma":[0.001542668,0.0007091718,0.001699716,0.002089804,0.0007070758,0.001262147,0.001086426,0.001315631,0.002586991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647524,"about_ca_system_score_gemma":0.001537474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04506715,"about_ca_topic_score_gemma":0.0396256,"domain_scores_codex":[0.9984641,0.0001424598,0.0000953159,0.0004460959,0.0007070443,0.0001450561],"domain_scores_gemma":[0.9988506,0.0004122843,0.0001969249,0.0001064496,0.0003625366,0.00007116146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01171299,0.001854769,0.1280708,0.005007254,0.001286927,0.001180681,0.006353003,0.01860447,0.6633728,0.002862353,0.005897976,0.1537961],"study_design_scores_gemma":[0.0001347502,0.003220215,0.3194196,0.0004120314,0.001072779,0.0004445831,0.00443639,0.008383669,0.5650134,0.001665116,0.09549949,0.0002979719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717809,0.003343312,0.005578198,0.0001729143,0.00005895131,0.0002277546,0.01028457,0.0001039173,0.008449377],"genre_scores_gemma":[0.9164823,0.004482827,0.01552626,0.0003071627,0.00002350347,0.0005585325,0.01869296,0.0004751147,0.04345144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04506715,"threshold_uncertainty_score":0.08960968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238436467469595,"score_gpt":0.2194574914293264,"score_spread":0.2070731267546304,"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."}}