{"id":"W2494751880","doi":"","title":"Wie gaan er winnen in Vancouver","year":2010,"lang":"de","type":"article","venue":"University of Groningen research database (University of Groningen / Centre for Information Technology)","topic":"Research in Social Sciences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003860154,0.0003089236,0.000434257,0.0008221212,0.01005359,0.005899914,0.0007537014,0.001760155,0.1033799],"category_scores_gemma":[0.001299198,0.0003191014,0.0002194816,0.003159457,0.001158642,0.001059007,0.002257802,0.001876545,0.02042131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01132418,"about_ca_system_score_gemma":0.01792424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8132365,"about_ca_topic_score_gemma":0.945683,"domain_scores_codex":[0.9989969,0.0001033074,0.00002941914,0.0001495959,0.0003627733,0.0003580764],"domain_scores_gemma":[0.9993715,0.00004051209,0.00002167782,0.00002815162,0.0002918551,0.0002463039],"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":[0.0003328179,0.0001138555,0.02152834,0.0005013848,0.00005590145,0.00340111,0.01533351,0.0003133203,0.002667194,0.04850491,0.6927177,0.21453],"study_design_scores_gemma":[0.000007839841,0.000008881366,0.0102157,0.00009858882,0.000006422106,0.00009341718,0.008661646,0.0000459016,0.0002339885,0.0008840783,0.9797295,0.00001405705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07281584,0.007185224,0.0008312921,0.03011185,0.002094986,0.0001656045,0.007708246,0.0002378738,0.878849],"genre_scores_gemma":[0.08520253,0.001871329,0.0005306765,0.001796838,0.00004911791,0.0000393986,0.001753221,0.0001335599,0.9086235],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8966201,"threshold_uncertainty_score":0.3757267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02989334352182499,"score_gpt":0.2988011833991702,"score_spread":0.2689078398773452,"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."}}