{"id":"W4233285929","doi":"10.2174/1871529x1601161021165238","title":"Preface","year":2016,"lang":"en","type":"article","venue":"Cardiovascular & Haematological Disorders - Drug Targets","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Philosophy","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001460608,0.000787848,0.001701085,0.0002087664,0.0003524753,0.00007328956,0.001069425,0.0003597008,0.001030111],"category_scores_gemma":[0.00133352,0.0004787135,0.003074979,0.000653976,0.0008409619,0.0004937343,0.0004873769,0.0003444801,0.01547486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001768314,"about_ca_system_score_gemma":0.00007157556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000403311,"about_ca_topic_score_gemma":0.00003048809,"domain_scores_codex":[0.9936864,0.001015541,0.0007171016,0.001614257,0.00141979,0.001546902],"domain_scores_gemma":[0.9965902,0.000340778,0.0001694462,0.002175562,0.0001894675,0.0005345396],"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":[0.001075807,0.003684529,0.1061099,0.0006966066,0.02391645,0.003519074,0.002085334,0.001361405,0.009038661,0.05653736,0.4704499,0.321525],"study_design_scores_gemma":[0.005669441,0.00009644245,0.02192621,0.0001912177,0.0007881139,0.0003820928,0.0003165374,0.00007175226,0.006375842,0.02298045,0.9389359,0.002266019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6452239,0.2048141,0.06457613,0.005837877,0.00211556,0.004683691,0.0003560571,0.006342586,0.06605012],"genre_scores_gemma":[0.9951933,0.002297538,0.0009025565,0.000190018,0.0001097132,0.0003265385,0.00002808559,0.0001980818,0.000754165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.468486,"threshold_uncertainty_score":0.9998831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135074478299224,"score_gpt":0.2194181458649942,"score_spread":0.208067401082002,"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."}}