{"id":"W2896011766","doi":"10.1016/j.iref.2010.02.006","title":"","year":2010,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Coffee research and impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Nutraceutical; Health benefits; Medicine; Mechanism (biology); Biotechnology; Type 2 diabetes; Traditional medicine; Diabetes mellitus; Risk analysis (engineering); Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006734055,0.0001421253,0.0005117048,0.0001150462,0.00002581309,0.00001605577,0.0003922587,0.00005116983,0.0002561543],"category_scores_gemma":[0.002217588,0.000128911,0.0002563471,0.00009494551,0.0001274723,0.0003052971,0.0001034865,0.000370298,0.0000306681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007876194,"about_ca_system_score_gemma":0.0003968757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005476418,"about_ca_topic_score_gemma":0.00008223048,"domain_scores_codex":[0.9986225,0.00001347643,0.0006864942,0.0002715622,0.0001526025,0.0002533786],"domain_scores_gemma":[0.9984109,0.0001463761,0.0003385284,0.0004772193,0.0004646608,0.0001622563],"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":[0.0009340682,0.001095407,0.09649914,0.01031892,0.000482531,0.0000708368,0.00008991234,0.0000229674,0.03810334,0.1578508,0.008977091,0.685555],"study_design_scores_gemma":[0.00220404,0.0004752811,0.3723285,0.01284686,0.00005127462,0.0004951941,0.000006081226,0.001168472,0.01511588,0.002873101,0.5921658,0.0002695179],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576717,0.01102213,0.00002997144,0.02452832,0.000518329,0.0004614154,0.00004717189,0.00001007988,0.00571087],"genre_scores_gemma":[0.7388519,0.2557971,0.001859064,0.002958101,0.000207757,0.00002993808,0.00003530705,0.00001143256,0.000249326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6852854,"threshold_uncertainty_score":0.5256836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600474263735562,"score_gpt":0.3496676609545253,"score_spread":0.3236629183171697,"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."}}