{"id":"W7015180744","doi":"","title":"Snelle Koelizjnikov deelt tik uit aan Krol en Nuis op 1.000 meter","year":2020,"lang":"nl","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metre; Electricity meter; Measure (data warehouse); Work (physics); Process (computing)","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":[0.0003940905,0.0008544718,0.0005981025,0.001678963,0.001858126,0.004774339,0.001284755,0.001351921,0.6158407],"category_scores_gemma":[0.001767169,0.0006265837,0.0003854666,0.003253156,0.0008108427,0.003048199,0.002368492,0.001955878,0.4441207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002458986,"about_ca_system_score_gemma":0.003278223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08680987,"about_ca_topic_score_gemma":0.1380488,"domain_scores_codex":[0.9993684,0.00004078705,0.00002667345,0.00009217698,0.0003394702,0.00013254],"domain_scores_gemma":[0.999203,0.00006461873,0.00004847753,0.0001071679,0.0004026887,0.0001740407],"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":[0.00003396321,0.00001039372,0.0001666225,0.0001324427,0.000001471061,0.00005679804,0.0001532708,0.00006497053,0.0002610132,0.004317331,0.9616897,0.03311196],"study_design_scores_gemma":[0.000001490763,0.000002133229,0.0003074599,0.0000195712,5.133493e-7,0.00001866854,0.00005220764,0.00001124298,0.0000774547,0.0001608818,0.9993452,0.000003077022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007143354,0.001144958,0.001236029,0.001518758,0.001242771,0.00008762488,0.03385127,0.001741178,0.9584631],"genre_scores_gemma":[0.002319086,0.0005335698,0.0004130834,0.0002479267,0.00007663306,0.00003560229,0.007963166,0.001183642,0.9872273],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6158407,"threshold_uncertainty_score":0.5479566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00712680206956984,"score_gpt":0.1916543524733038,"score_spread":0.1845275504037339,"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."}}