{"id":"W4385743150","doi":"10.18174/579299","title":"Tussen wal en schip : Resultaten van een Litter-ID-sessie waarbij samen met betrokkenen de samenstelling, bronnen, oorzaken en oplossingen voor aangespoeld zwerfafval in de binnen- en buitenhaven van Stellendam in kaart zijn gebracht","year":2023,"lang":"nl","type":"report","venue":"","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; 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":[0.0053212,0.0007400073,0.0008477349,0.001172726,0.001429031,0.003280625,0.001008956,0.001080442,0.02012623],"category_scores_gemma":[0.007778719,0.0004272151,0.001449949,0.002008541,0.0009990461,0.001438671,0.003165791,0.001009458,0.00541553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00282395,"about_ca_system_score_gemma":0.004806294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.119104,"about_ca_topic_score_gemma":0.1400457,"domain_scores_codex":[0.9954129,0.001265502,0.0002812044,0.0004762591,0.001929817,0.0006343314],"domain_scores_gemma":[0.9930936,0.002198095,0.0005449802,0.001019747,0.002437591,0.0007061082],"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":[0.01546424,0.00967908,0.2421746,0.00287578,0.001507959,0.001521541,0.01225118,0.01550639,0.008246446,0.01925751,0.2312382,0.4402772],"study_design_scores_gemma":[0.001510083,0.007155895,0.5097601,0.001392217,0.002629649,0.0008061507,0.03725876,0.006563422,0.05858797,0.01201417,0.3618665,0.0004550633],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7194675,0.005583585,0.007242173,0.003128768,0.0006801099,0.001268603,0.05862984,0.0003785179,0.2036209],"genre_scores_gemma":[0.7272065,0.002990726,0.009744646,0.0006727012,0.00008897207,0.001216304,0.05256952,0.0004389643,0.2050717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.119104,"threshold_uncertainty_score":0.2368215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04470622750235367,"score_gpt":0.306699702836853,"score_spread":0.2619934753344994,"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."}}