{"id":"W4394999755","doi":"10.18174/632159","title":"Bronnen en oorzaken van zwerfafval in de Rotte en ideeen voor vervolgstappen : resultaten van een analyse met lokale betrokkenen op basis van de Litter-ID methodologie","year":2023,"lang":"nl","type":"report","venue":"","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Medicine; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01097338,0.0008075594,0.0009728803,0.001565357,0.0008889061,0.004273352,0.0007061751,0.000712846,0.006516989],"category_scores_gemma":[0.02516885,0.0006557473,0.001180215,0.002825504,0.001948298,0.002242679,0.003348066,0.00108467,0.001294891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152668,"about_ca_system_score_gemma":0.002241307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03820626,"about_ca_topic_score_gemma":0.04348581,"domain_scores_codex":[0.9874218,0.006658069,0.0006356335,0.001593587,0.003145552,0.0005453702],"domain_scores_gemma":[0.9762257,0.018466,0.001394379,0.001500568,0.00208437,0.0003288878],"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":[0.001890538,0.001136388,0.2029879,0.006748558,0.0009284309,0.001978568,0.06967255,0.02276484,0.01920596,0.01286209,0.009960079,0.6498641],"study_design_scores_gemma":[0.0002856226,0.001426588,0.4530513,0.00359388,0.001543261,0.002688113,0.1263547,0.04445533,0.08437485,0.03101736,0.2507417,0.0004672074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8064011,0.004491729,0.1498054,0.0005300639,0.0001597486,0.0008559932,0.006940939,0.0003998806,0.03041515],"genre_scores_gemma":[0.8133296,0.003546477,0.1497182,0.000247749,0.00003994487,0.0007239095,0.009768604,0.000928216,0.02169727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03820626,"threshold_uncertainty_score":0.07596773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134040431704239,"score_gpt":0.359323195651564,"score_spread":0.2459191524811401,"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."}}