{"id":"W7034798539","doi":"","title":"Wetenschappers kom achter dat bureau vandaan","year":2017,"lang":"nl","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Data collection; Identification (biology); Term (time); Context (archaeology); Government (linguistics)","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":[0.003690498,0.001021492,0.001506273,0.001875962,0.003311458,0.01700219,0.001500063,0.003765387,0.2200326],"category_scores_gemma":[0.01283881,0.001143085,0.0009554529,0.002933926,0.001476186,0.003949226,0.004802869,0.007207969,0.0874865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003700343,"about_ca_system_score_gemma":0.008217459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07812015,"about_ca_topic_score_gemma":0.05272987,"domain_scores_codex":[0.9925774,0.001526011,0.0007182204,0.00102544,0.00336322,0.0007896579],"domain_scores_gemma":[0.9969213,0.0009780106,0.000346281,0.000389414,0.0008373046,0.0005275976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004579196,0.0002866963,0.005370868,0.0006757348,0.0001740557,0.001104998,0.004597291,0.0006104307,0.004430757,0.04196051,0.7046156,0.2357152],"study_design_scores_gemma":[0.00002569516,0.00001588889,0.001526915,0.0001931899,0.00002075012,0.0001770506,0.0006264968,0.0001494158,0.000710264,0.002114827,0.994416,0.00002344024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.02906162,0.02774485,0.009851453,0.07294429,0.01696347,0.0003460599,0.03458391,0.002520427,0.8059839],"genre_scores_gemma":[0.08450563,0.01082382,0.01066593,0.006333738,0.001438684,0.0004032818,0.01408185,0.003083007,0.868664],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2200326,"threshold_uncertainty_score":0.7360824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0461725106116905,"score_gpt":0.3197908427125437,"score_spread":0.2736183321008532,"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."}}