{"id":"W3082224046","doi":"10.18174/528599","title":"Resultaten bronanalyse zwerfafval Griend : Resultaten van een gedetailleerde bronanalyse van zwerfafval dat op het Waddeneiland Griend verzameld is en samen met lokale stakeholders tijdens een Litter-ID-sessie in oktober 2019 onderzocht is","year":2020,"lang":"nl","type":"report","venue":"","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Litter; Geography; Humanities; Fishing; Forestry; Environmental science; Environmental protection; Fishery; Ecology; Art; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02958299,0.0009254805,0.001093573,0.004938981,0.00258017,0.007107878,0.001367858,0.001304902,0.0379186],"category_scores_gemma":[0.06509997,0.0005852805,0.002343479,0.005616883,0.002567758,0.004539013,0.006117404,0.002834963,0.01040123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004949561,"about_ca_system_score_gemma":0.01022538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02585932,"about_ca_topic_score_gemma":0.03680097,"domain_scores_codex":[0.9750596,0.008945289,0.002260506,0.002466128,0.009484704,0.001783721],"domain_scores_gemma":[0.9209141,0.03882899,0.006326717,0.006484415,0.02552954,0.001916223],"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":[0.003204315,0.001873954,0.1751448,0.01452491,0.00139773,0.0009185051,0.1226741,0.001566709,0.006427089,0.04482912,0.1412892,0.4861495],"study_design_scores_gemma":[0.0001866983,0.0009687818,0.2454282,0.009020894,0.001045749,0.0002820623,0.1103621,0.0005537388,0.009957224,0.0130663,0.6088948,0.0002334452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5791885,0.01358627,0.02891431,0.01136728,0.0014602,0.005488187,0.06309597,0.0006225419,0.2962768],"genre_scores_gemma":[0.6970765,0.007983386,0.04363166,0.005607462,0.0004115425,0.009590168,0.04407051,0.001381583,0.1902472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0379186,"threshold_uncertainty_score":0.1564517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04997299253856457,"score_gpt":0.2775405422060802,"score_spread":0.2275675496675156,"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."}}