{"id":"W7017161190","doi":"","title":"Achtergrondconcentraties in het oppervlaktewater van HHNK : Deelrapport 7 : Analyse achtergrondconcentraties voor stikstof en fosfor op basis van water- en nutriëntenbalansen voor de Hargerpolder","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":"Center (category theory); Quarter (Canadian coin); Information center","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":[0.001742184,0.0008851143,0.001455708,0.001425886,0.0004941795,0.003375237,0.001018967,0.00125825,0.0147081],"category_scores_gemma":[0.002073404,0.0007356773,0.002335519,0.002316098,0.0006905036,0.001616496,0.001106142,0.001534903,0.002887071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428504,"about_ca_system_score_gemma":0.001445313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04289233,"about_ca_topic_score_gemma":0.03389146,"domain_scores_codex":[0.998483,0.0001497613,0.00008888332,0.0003986309,0.0007210375,0.0001586903],"domain_scores_gemma":[0.9983447,0.0008068049,0.0002007709,0.0001643366,0.0004067257,0.00007660167],"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":[0.0090682,0.002929399,0.1457552,0.006624831,0.002063408,0.001624833,0.007816484,0.06034696,0.532604,0.005167829,0.009032469,0.2169663],"study_design_scores_gemma":[0.0002035199,0.003065765,0.3659008,0.0003833685,0.001142997,0.0004514907,0.005322908,0.03025449,0.5042523,0.002847097,0.08570296,0.0004722192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571859,0.002444039,0.014406,0.0002119547,0.00007751674,0.0003548164,0.01381393,0.0002900455,0.01121592],"genre_scores_gemma":[0.8890923,0.003959741,0.03187999,0.0003405493,0.00003448498,0.0008139343,0.02281441,0.0008128002,0.0502518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04289233,"threshold_uncertainty_score":0.08528537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222307167912529,"score_gpt":0.2248597254144038,"score_spread":0.2126366537352785,"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."}}