{"id":"W7000190542","doi":"","title":"Eutrofiering av Mjøsa – kartlegging av årsaksforhold og kilder til fosfor i delnedbørfelt: Heggshuselva","year":2021,"lang":"no","type":"article","venue":"Duo Research Archive (University of Oslo)","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confusion; Quarter (Canadian coin); Population","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":[0.002441096,0.0008050569,0.000960935,0.00077173,0.001629172,0.003499838,0.0009201869,0.002278253,0.0412301],"category_scores_gemma":[0.003566776,0.0004361522,0.001359408,0.0006212152,0.001114659,0.001483669,0.003115724,0.00289081,0.01186133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002126237,"about_ca_system_score_gemma":0.003762163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01693505,"about_ca_topic_score_gemma":0.02807563,"domain_scores_codex":[0.9979126,0.000517358,0.0001161702,0.0003346519,0.0007785046,0.000340682],"domain_scores_gemma":[0.9983637,0.0003655839,0.0002173358,0.00009444512,0.0005510377,0.0004079404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006768344,0.00361844,0.02345799,0.01013264,0.0005355565,0.001668823,0.007609735,0.0007788638,0.05538403,0.009821275,0.1927472,0.6874771],"study_design_scores_gemma":[0.0002151227,0.003334636,0.04899821,0.005382813,0.0004260601,0.001045457,0.006789183,0.0003838183,0.02394844,0.005107628,0.904156,0.000212758],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5107585,0.1607575,0.009030979,0.07880157,0.01029262,0.0009809699,0.009108344,0.001309637,0.2189599],"genre_scores_gemma":[0.5354183,0.1036047,0.01809372,0.01551818,0.001551553,0.0008751623,0.006725193,0.0009082708,0.3173048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0412301,"threshold_uncertainty_score":0.1379285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239308246657756,"score_gpt":0.2589190022526617,"score_spread":0.2265259197860841,"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."}}