{"id":"W6968794136","doi":"10.5281/zenodo.4423299","title":"Gedragsprofielen Digitaal Erfgoed - samenvatting","year":2019,"lang":"nl","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pleiades Robotics (Canada)","funders":"","keywords":"Period (music)","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":[0.001447745,0.0006199276,0.0004005925,0.0007939882,0.001635619,0.005738672,0.0009751432,0.00198017,0.1428873],"category_scores_gemma":[0.004376112,0.0003241051,0.0003982698,0.0008729737,0.001251188,0.004244001,0.003197219,0.001581319,0.04186736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001414697,"about_ca_system_score_gemma":0.001445297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003961267,"about_ca_topic_score_gemma":0.006334043,"domain_scores_codex":[0.9980662,0.0004479625,0.00009329795,0.0002516303,0.0008496358,0.0002912072],"domain_scores_gemma":[0.9980508,0.0005385124,0.0001039394,0.0004747593,0.0005818828,0.0002500268],"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":[0.0008497308,0.0003293074,0.002759397,0.000795413,0.00003589211,0.001281974,0.009466424,0.001383857,0.01746465,0.2424015,0.2210855,0.5021464],"study_design_scores_gemma":[0.0000271548,0.00007014328,0.001786454,0.0002020881,0.00001696975,0.0006402336,0.001938122,0.0007594129,0.008483489,0.01389164,0.9721321,0.00005232878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04607927,0.00264242,0.06922995,0.007083008,0.002663228,0.0002061784,0.001763726,0.003558043,0.8667741],"genre_scores_gemma":[0.2216358,0.002396631,0.02831716,0.001776072,0.0003850706,0.0001928245,0.002769925,0.001672347,0.7408543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1428873,"threshold_uncertainty_score":0.4780056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03633247608869652,"score_gpt":0.2587660681093608,"score_spread":0.2224335920206642,"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."}}