{"id":"W4321505830","doi":"10.18174/586229","title":"Pilotstudie inzet Litter-ID bij de landelijke monitoringstrategie voor rivierafval : Resultaten van een pilotstudie waarin onderzocht is of en hoe de Litter-ID-methodiek kan bijdragen aan de landelijke monitoringstrategie voor rivierafval van Rijkswaterstaat","year":2023,"lang":"nl","type":"report","venue":"","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Rijkswaterstaat; Wageningen University and Research","keywords":"Christian ministry; Litter; Humanities; Forestry; Art; Theology; Geography; Biology; Ecology; Philosophy","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.007761915,0.003101789,0.003207018,0.000929579,0.001314535,0.0008059614,0.003085666,0.001515391,0.003178362],"category_scores_gemma":[0.0004328065,0.002978186,0.001100319,0.001594878,0.001290125,0.000959088,0.003884966,0.002634613,0.002423693],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007077951,"about_ca_system_score_gemma":0.001109505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03568447,"about_ca_topic_score_gemma":0.004235269,"domain_scores_codex":[0.9815533,0.001926847,0.004224239,0.003964846,0.003767884,0.004562923],"domain_scores_gemma":[0.9918868,0.001104577,0.002291516,0.002626559,0.0001825154,0.001908025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002199119,0.005483689,0.6593589,0.004681989,0.009612611,0.004624657,0.01894371,0.01212687,0.04306862,0.000330872,0.1792463,0.06032263],"study_design_scores_gemma":[0.00803151,0.003609184,0.5185441,0.00189044,0.003326557,0.0002815818,0.01421189,0.002775367,0.01237176,0.00293713,0.4251901,0.00683045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7725233,0.001596564,0.004034411,0.008087225,0.005354395,0.00716015,0.001800103,0.001606619,0.1978372],"genre_scores_gemma":[0.8435361,0.02518955,0.01155104,0.002326552,0.002677402,0.0009257033,0.000992845,0.0008564731,0.1119443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2459437,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09632175153667669,"score_gpt":0.3466195364255017,"score_spread":0.250297784888825,"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."}}