{"id":"W7099896020","doi":"","title":"Deferred Items: Government Management Committee Item GM8.12.......................................................1","year":2007,"lang":"en","type":"article","venue":"","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Records management; Local government; Interview; Work (physics)","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":["insufficient_payload"],"category_scores_codex":[0.006041409,0.001025826,0.001083203,0.002933596,0.0060888,0.009854062,0.003316405,0.007422982,0.5802411],"category_scores_gemma":[0.03052555,0.001271855,0.000881993,0.003433059,0.001214995,0.002648786,0.002931681,0.006170035,0.5741887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005504908,"about_ca_system_score_gemma":0.02164972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07574398,"about_ca_topic_score_gemma":0.0962649,"domain_scores_codex":[0.9904593,0.0007459538,0.0005131669,0.0006974894,0.00650517,0.001078904],"domain_scores_gemma":[0.9603397,0.002448157,0.00112103,0.002595802,0.03116552,0.002329784],"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":[0.00001520151,0.00001697053,0.00007015451,0.00003591743,8.970715e-7,0.00001227605,0.00003580651,0.000009362046,0.0001222896,0.001074654,0.9929215,0.00568489],"study_design_scores_gemma":[0.00001259611,0.00001596074,0.0007252056,0.00006278719,0.000002489919,0.00001217716,0.0001075052,0.00002268368,0.0001254867,0.0002178513,0.9986858,0.000009538967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001332373,0.0009779956,0.001851829,0.02387539,0.01505226,0.002137339,0.01631934,0.002929866,0.9355237],"genre_scores_gemma":[0.001339542,0.0002072394,0.0007050613,0.001855187,0.0004954939,0.0003294637,0.00425193,0.0004931674,0.9903228],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4197589,"threshold_uncertainty_score":0.5987351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957524766584402,"score_gpt":0.2744051452294481,"score_spread":0.2548298975636041,"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."}}