{"id":"W6999890637","doi":"","title":"E 01 27 2016 The Heart Pro 15 11 15","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Government (linguistics); MEDLINE; Theme (computing)","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":[0.0008312759,0.0007158489,0.0005312134,0.0007455596,0.001480002,0.005626791,0.000724642,0.004003827,0.7567283],"category_scores_gemma":[0.002960521,0.0003487518,0.0004917439,0.0006722439,0.0007338624,0.001245287,0.001943773,0.003010056,0.7630359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338464,"about_ca_system_score_gemma":0.001521985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008344984,"about_ca_topic_score_gemma":0.02293749,"domain_scores_codex":[0.9995162,0.00005473982,0.00002211183,0.00008096906,0.0001796509,0.0001462573],"domain_scores_gemma":[0.9991174,0.00009371259,0.00003774606,0.00008886358,0.0003377392,0.0003244267],"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":[0.00004225488,0.00001664714,0.00009808535,0.0000509748,0.000001396754,0.00003436231,0.00001790056,0.000009994225,0.0001058504,0.001895876,0.9872974,0.01042936],"study_design_scores_gemma":[0.00001146809,0.00001154006,0.0003926665,0.0000708912,0.000001158145,0.00001565206,0.00002842583,0.00001087382,0.0000427577,0.0002212761,0.9991898,0.000003447439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002002813,0.0005672012,0.0001742784,0.004043361,0.006782278,0.0001051701,0.002847684,0.0006017424,0.984678],"genre_scores_gemma":[0.0006023173,0.0002015519,0.00004829856,0.001258444,0.0005602354,0.00002809149,0.0006084433,0.0001355799,0.9965571],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2432717,"threshold_uncertainty_score":0.3469976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007638608966674691,"score_gpt":0.2032951703631431,"score_spread":0.1956565613964684,"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."}}