{"id":"W4231184365","doi":"10.33137/incite.3.34717","title":"Heartbeats & Heartbreaks","year":2020,"lang":"en","type":"article","venue":"in cite journal","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220801,0.00005933367,0.0001928007,0.00007071742,0.00004778473,0.00002052349,0.00003056271,0.00006076119,0.0007297684],"category_scores_gemma":[0.0001301353,0.00005202022,0.0001795829,0.0001821081,0.00001132901,0.00007343335,0.000012007,0.000495561,0.0003419823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004984294,"about_ca_system_score_gemma":0.0001073902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005133163,"about_ca_topic_score_gemma":0.000004013887,"domain_scores_codex":[0.9988949,0.0002940107,0.0002695488,0.0001005827,0.0002655785,0.0001753343],"domain_scores_gemma":[0.9994587,0.00001110623,0.00003892675,0.00008884749,0.00005683378,0.0003455679],"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":[0.0003203821,0.0006173725,0.1429073,0.0007312965,0.0003467996,0.001938808,0.005460814,0.0002443005,0.01755195,0.0001521389,0.06002233,0.7697065],"study_design_scores_gemma":[0.004216735,0.0003213927,0.364682,0.0003421062,0.00004810533,0.005387557,0.000106826,0.0002683936,0.0002442847,0.0003195505,0.6239243,0.000138694],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8961154,0.00145854,0.03310405,0.06140383,0.0004511047,0.0003434603,0.00000151668,0.00006193369,0.007060143],"genre_scores_gemma":[0.989901,0.0002911176,0.001691601,0.006719391,0.0008788205,0.00000290684,0.000004152045,0.00001327712,0.0004977135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7695678,"threshold_uncertainty_score":0.7990451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07867006507380445,"score_gpt":0.3592015815603964,"score_spread":0.280531516486592,"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."}}