{"id":"W4412327705","doi":"","title":"klink[01] - klirreis:31 spalter, 3 spaltekort","year":2015,"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":"Computer science","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":["insufficient_payload"],"category_scores_codex":[0.001332327,0.001675743,0.001187577,0.001751369,0.001898374,0.006264082,0.001170237,0.002683936,0.5092674],"category_scores_gemma":[0.003253326,0.0008215311,0.0007338753,0.001871307,0.0006189529,0.003575833,0.003362085,0.002183154,0.4348871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585067,"about_ca_system_score_gemma":0.002390238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003661116,"about_ca_topic_score_gemma":0.007202862,"domain_scores_codex":[0.9986057,0.000194698,0.0001097004,0.0003902282,0.0004508979,0.0002487527],"domain_scores_gemma":[0.9987111,0.0001810204,0.00007672557,0.0002067209,0.0005200107,0.0003044214],"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":[0.0003329252,0.0001490912,0.0005464641,0.0002251491,0.00002732265,0.0002306768,0.0001573429,0.0005440803,0.001272541,0.01339104,0.8798,0.1033235],"study_design_scores_gemma":[0.00004800169,0.00005348774,0.0008424249,0.0002270758,0.00001360857,0.000248253,0.0001027481,0.0006663142,0.002319129,0.00519041,0.9902418,0.00004681078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01096101,0.01225519,0.01498112,0.0158985,0.01858388,0.0003654003,0.03377446,0.01416946,0.8790109],"genre_scores_gemma":[0.02083611,0.002545243,0.004024949,0.001251177,0.0008101035,0.0001106757,0.00922042,0.005789228,0.955412],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4907326,"threshold_uncertainty_score":0.6999704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196541162172016,"score_gpt":0.2338209198309389,"score_spread":0.1141668036137373,"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."}}