{"id":"W4406443602","doi":"10.1016/s0246-0378(23)47135-7","title":"10.1016/s0246-0378(23)47135-7","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Keynesian economics; Intensive care medicine; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001260979,0.002772843,0.001955056,0.002858088,0.00240829,0.003985581,0.003492225,0.006093587,0.9906347],"category_scores_gemma":[0.002010406,0.0009682301,0.001744758,0.002420552,0.001965756,0.004686304,0.003486685,0.002863804,0.9926162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263499,"about_ca_system_score_gemma":0.00141511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004535072,"about_ca_topic_score_gemma":0.004028582,"domain_scores_codex":[0.9992298,0.00005339011,0.00006778957,0.0002457768,0.0002166639,0.0001866209],"domain_scores_gemma":[0.997216,0.0006476769,0.0001741844,0.0002759142,0.0005806945,0.00110555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004017539,0.0002474606,0.000710853,0.0006567443,0.00003570083,0.000242537,0.00009781231,0.0003311742,0.001698458,0.004659143,0.4060996,0.5848188],"study_design_scores_gemma":[0.00005569501,0.0001012288,0.0006509048,0.0002803347,0.0000104172,0.0002678748,0.00008614604,0.0001203032,0.0002358029,0.0004291723,0.9977434,0.0000188224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003293791,0.0004557374,0.000429581,0.0004316428,0.0004262362,0.0001168904,0.0006255654,0.0007056809,0.9964793],"genre_scores_gemma":[0.0003896228,0.0001726018,0.0002230944,0.0002106469,0.00008775332,0.00005182283,0.0002609256,0.0001122912,0.9984913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009365261,"threshold_uncertainty_score":0.01335841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024249669369803,"score_gpt":0.2233609486676599,"score_spread":0.2131184519739618,"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."}}