{"id":"W4406448421","doi":"10.1016/j.ypat.2015.07.018","title":"10.1016/j.ypat.2015.07.018","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Hormonal Regulation and Hypertension","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Harmonization; Medicine; Sample (material); Medical physics; Chromatography","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":[0.0004892423,0.0009549764,0.0005761907,0.001064183,0.0007563615,0.002706081,0.0009072475,0.003007006,0.8207521],"category_scores_gemma":[0.0008874794,0.0003348719,0.0005840504,0.0005031521,0.0009143528,0.001667282,0.001096649,0.001628425,0.7418461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006736016,"about_ca_system_score_gemma":0.001131414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001852575,"about_ca_topic_score_gemma":0.001481811,"domain_scores_codex":[0.9998146,0.00001602991,0.00001332262,0.00005488592,0.00005589654,0.00004526644],"domain_scores_gemma":[0.9993762,0.0000768297,0.00007996525,0.00003934007,0.0001126192,0.0003150919],"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":[0.0005512359,0.0002884831,0.004491669,0.000659115,0.00006393393,0.0006619068,0.0001324887,0.0002721651,0.002611816,0.007656462,0.3056431,0.6769676],"study_design_scores_gemma":[0.00008875418,0.0001833457,0.007110995,0.0008145642,0.00005917262,0.0037202,0.0002563213,0.000330758,0.001135554,0.007931648,0.9783384,0.00003031525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00836796,0.03686438,0.005873928,0.02205946,0.006639761,0.0001331952,0.004974288,0.002478335,0.9126087],"genre_scores_gemma":[0.02542238,0.009755694,0.003179291,0.003344663,0.001832366,0.00008407304,0.002453499,0.0003274507,0.9536006],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1792479,"threshold_uncertainty_score":0.2556754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040178984708136,"score_gpt":0.211308154117915,"score_spread":0.2009063642708337,"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."}}