{"id":"W6887590510","doi":"10.17026/ar/of5fqd","title":"Een loodsnijder, of toch iets anders?","year":2024,"lang":"nl","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Energy, Environment, Agriculture Analysis","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kelowna General Hospital","funders":"","keywords":"Trinomial; Performance practice; Waltz","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":[0.003449287,0.0008295157,0.0008303931,0.0008826833,0.007697621,0.01366131,0.001498106,0.004595504,0.06699267],"category_scores_gemma":[0.008724332,0.000577454,0.0005367269,0.0009370008,0.0103075,0.01449446,0.006559341,0.007686141,0.01971823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005969882,"about_ca_system_score_gemma":0.006974197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0256414,"about_ca_topic_score_gemma":0.04604718,"domain_scores_codex":[0.9958559,0.00117866,0.0001400587,0.0009092824,0.001137521,0.0007785668],"domain_scores_gemma":[0.9972367,0.0006078143,0.0002050608,0.0003803924,0.0007942899,0.0007757103],"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":[0.0001129903,0.0001067185,0.002629058,0.000420725,0.00003521182,0.0005606185,0.02255766,0.0001369218,0.001718268,0.4192043,0.4645073,0.08801024],"study_design_scores_gemma":[0.000003273576,0.000008266881,0.0003601318,0.0001477777,0.000004381143,0.00009136883,0.005843235,0.00002677131,0.0001639817,0.01247136,0.9808656,0.00001382068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.01277248,0.0287124,0.007436685,0.272875,0.01725399,0.00008165378,0.0006765732,0.0004221927,0.6597691],"genre_scores_gemma":[0.1160377,0.01351974,0.004949642,0.05316537,0.002677774,0.00008372526,0.0006224378,0.0009355298,0.8080081],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06699267,"threshold_uncertainty_score":0.2241128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266501572997387,"score_gpt":0.2388327238273914,"score_spread":0.2261677080974175,"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."}}