{"id":"W4412315741","doi":"","title":"lade·balk – lag[02], lav[02]:85 kc, 3 spaltekort","year":2020,"lang":"da","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SKiN Health","funders":"","keywords":"Lag; Mathematics; Statistics; Computer science; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000852178,0.001334822,0.0006377401,0.002226883,0.00182477,0.005808441,0.001147353,0.002764961,0.2773954],"category_scores_gemma":[0.004232136,0.0005929996,0.0006358472,0.002823942,0.000653856,0.003796194,0.002838625,0.002506039,0.240249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231663,"about_ca_system_score_gemma":0.001883547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005397848,"about_ca_topic_score_gemma":0.008688339,"domain_scores_codex":[0.9991938,0.000180756,0.00006665262,0.0001776539,0.0002672324,0.0001137699],"domain_scores_gemma":[0.9989998,0.0001985674,0.00005937171,0.0001897038,0.0004388067,0.0001137519],"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":[0.0001200379,0.0001096592,0.0008243838,0.0002900341,0.00002546731,0.0001701303,0.0003138497,0.0004107147,0.0007843885,0.05122222,0.8075223,0.1382067],"study_design_scores_gemma":[0.00001698037,0.0000137503,0.0007727768,0.0001940628,0.00001626083,0.0001967078,0.00015398,0.0006372336,0.000969391,0.01701497,0.9799668,0.00004700626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01093431,0.02361382,0.05716084,0.04298526,0.02648518,0.0003172631,0.03034873,0.01379463,0.79436],"genre_scores_gemma":[0.06108423,0.00773265,0.01688571,0.003596973,0.002795904,0.0001763041,0.01237557,0.007811733,0.8875408],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7226046,"threshold_uncertainty_score":0.9279802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08194366159132768,"score_gpt":0.1956966059882196,"score_spread":0.1137529443968919,"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."}}