{"id":"W6960754104","doi":"10.1371/journal.pone.0133568.t001","title":"Patients’ characteristics.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Angina; Coronary artery disease; Coronary heart disease; Percutaneous; Computed tomography; Right coronary artery","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":[],"consensus_categories":[],"category_scores_codex":[0.000812283,0.0009757301,0.001318074,0.001389367,0.0004525528,0.001283046,0.001298681,0.001435573,0.09189102],"category_scores_gemma":[0.008727417,0.0004022593,0.001100133,0.004123534,0.0002337112,0.0008718271,0.0008977978,0.001275357,0.04932074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009008303,"about_ca_system_score_gemma":0.001859536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213989,"about_ca_topic_score_gemma":0.02139771,"domain_scores_codex":[0.9989874,0.0001259535,0.0001886876,0.0004505617,0.000129143,0.0001183337],"domain_scores_gemma":[0.9969866,0.001300728,0.0005004256,0.0004104241,0.0005809392,0.0002208492],"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":[0.0002466243,0.00002806715,0.006172554,0.0009243514,0.0001000425,0.00004365996,0.00002425387,0.0002504023,0.00007452095,0.0003252645,0.9878018,0.004008275],"study_design_scores_gemma":[0.00129806,0.00009047489,0.04814042,0.001640726,0.0002781186,0.0004037943,0.0002072255,0.0006204227,0.0003637361,0.002487774,0.9443948,0.00007440522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003189756,0.0001143487,0.0000401963,0.00008095443,0.00001578685,0.00001452158,0.998823,0.00004055064,0.0005515842],"genre_scores_gemma":[0.002237361,0.0001426688,0.0001936599,0.0002151892,0.00001974398,0.0001997682,0.9958989,0.00004585153,0.001046914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09189102,"threshold_uncertainty_score":0.3074061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04432972611986019,"score_gpt":0.230198901317244,"score_spread":0.1858691751973839,"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."}}