{"id":"W4394333745","doi":"10.6084/m9.figshare.7346852","title":"GRID release 2018-11-14","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grid; Business; Computer science; Geography; Geodesy","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":[],"category_scores_codex":[0.001418881,0.001758647,0.001519603,0.003290495,0.0008543265,0.003611995,0.003051474,0.001454512,0.1411609],"category_scores_gemma":[0.01017655,0.0008730112,0.001398628,0.009173635,0.0004394042,0.002193053,0.002518521,0.001813535,0.2114893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486828,"about_ca_system_score_gemma":0.002964716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02514841,"about_ca_topic_score_gemma":0.03157828,"domain_scores_codex":[0.9986234,0.0002724576,0.0002125209,0.000408307,0.0002844943,0.0001988014],"domain_scores_gemma":[0.9968756,0.0007232755,0.0002409272,0.001014653,0.0008190566,0.0003264881],"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":[0.00003273915,0.000004769256,0.0002503842,0.0001834049,0.00001253022,0.000008217651,0.00001353627,0.00008355913,0.00003181957,0.0004776168,0.997979,0.0009223732],"study_design_scores_gemma":[0.0001271062,0.00000605009,0.001459471,0.0001400909,0.00001074353,0.00002512909,0.00004622833,0.0001464995,0.0001065287,0.001475949,0.9964423,0.00001396553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004554496,0.00003087731,0.00008656865,0.00008215986,0.00003781594,0.000006735518,0.9979665,0.0007688844,0.000974802],"genre_scores_gemma":[0.0002289413,0.00004590439,0.0002434406,0.00005881792,0.000009056748,0.00003964897,0.9983717,0.0002466583,0.0007558459],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8588391,"threshold_uncertainty_score":0.4722303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540427377217932,"score_gpt":0.3014147809888761,"score_spread":0.2660105072166968,"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."}}