{"id":"W7070341526","doi":"","title":"Onderzoek naar het terugdringen van korte detenties met behulp van instrumenten:Changing justice gears - Empirische fase","year":2024,"lang":"nl","type":"book","venue":"Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Post hoc; European union; Automatism (medicine)","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":[0.003887941,0.0004926909,0.0003919973,0.001217319,0.007843114,0.01429476,0.001469938,0.004681527,0.02881646],"category_scores_gemma":[0.007711393,0.0003134945,0.0005799563,0.00104994,0.02041016,0.01033677,0.005665947,0.006287718,0.00413772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01027047,"about_ca_system_score_gemma":0.007434158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04337459,"about_ca_topic_score_gemma":0.06573833,"domain_scores_codex":[0.9942647,0.00303365,0.0001618155,0.0006531945,0.001070207,0.0008164853],"domain_scores_gemma":[0.9955477,0.002081768,0.0005169752,0.0004063625,0.0008683829,0.0005788363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003338593,0.00004624669,0.0021027,0.0001320229,0.00001002735,0.000169014,0.02266376,0.000105406,0.0002982588,0.9295273,0.02863058,0.01628131],"study_design_scores_gemma":[0.00003034824,0.00006779805,0.009641971,0.0006989401,0.00003484178,0.0004030595,0.04402005,0.0005302221,0.0009867291,0.3502256,0.593294,0.00006642511],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04687643,0.006837211,0.006518071,0.1166366,0.0009840993,0.00007853604,0.0002858292,0.0001001911,0.821683],"genre_scores_gemma":[0.7926913,0.003925738,0.003658737,0.0187538,0.0003956745,0.0001724749,0.0001815286,0.0001898197,0.1800309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04337459,"threshold_uncertainty_score":0.09640068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012708114962818,"score_gpt":0.2238901860385868,"score_spread":0.2137631048889586,"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."}}