{"id":"W6931326041","doi":"10.5281/zenodo.4423323","title":"Gedragsprofielen digitaal erfgoed","year":2019,"lang":"nl","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Scientific and Engineering Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pleiades Robotics (Canada)","funders":"","keywords":"Context (archaeology); Research data; Postgraduate research","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":[0.00167062,0.0006140203,0.0003357226,0.001034894,0.001343997,0.004795709,0.001047491,0.001561083,0.1614941],"category_scores_gemma":[0.007780728,0.0002863955,0.0004212493,0.001046095,0.001207014,0.003694469,0.003716046,0.001400792,0.04975953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732012,"about_ca_system_score_gemma":0.002034638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004750873,"about_ca_topic_score_gemma":0.006543123,"domain_scores_codex":[0.9973056,0.0003861501,0.000154477,0.0004215805,0.001353249,0.0003788579],"domain_scores_gemma":[0.9953674,0.001309992,0.0003948334,0.0007726328,0.001339552,0.0008155151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001140672,0.0004383231,0.01773122,0.001021786,0.00005540263,0.001652548,0.01002304,0.001214703,0.02534616,0.1428523,0.121187,0.6773368],"study_design_scores_gemma":[0.00004954278,0.0002163919,0.01667772,0.0003225451,0.00003470975,0.001244343,0.004564743,0.0008995679,0.009829891,0.02163268,0.944421,0.000106964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1392951,0.002165484,0.03272323,0.007835744,0.001203659,0.0001388035,0.002271426,0.002023528,0.812343],"genre_scores_gemma":[0.3538734,0.002066799,0.01517371,0.002067052,0.0002725603,0.0001880707,0.002604256,0.0006029293,0.6231512],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1614941,"threshold_uncertainty_score":0.5402516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199790126630145,"score_gpt":0.2064981092190319,"score_spread":0.1865190965560174,"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."}}