{"id":"W7139659520","doi":"","title":"Lepo-EKG:ssa havaittujen muutosten vaikutus kuolleisuuteen suomalaisessa Terveys 2000 tutkimuksessa","year":2014,"lang":"en","type":"dissertation","venue":"Trepo - Institutional Repository of Tampere University","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Quarter (Canadian coin)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003289592,0.0006178339,0.001301073,0.0007366726,0.001028247,0.00004856944,0.000500661,0.0007769713,0.0001787083],"category_scores_gemma":[0.0002054801,0.000640191,0.001007523,0.0005202545,0.0004166485,0.0003189378,0.00009951687,0.0007660576,0.00006195436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009404161,"about_ca_system_score_gemma":0.002239453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002840731,"about_ca_topic_score_gemma":0.0001913793,"domain_scores_codex":[0.9964255,0.0002015979,0.0008197846,0.0009587565,0.001144816,0.0004495135],"domain_scores_gemma":[0.9966344,0.0001416969,0.0008921305,0.0008978273,0.001031778,0.0004021502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008950436,0.006175722,0.8253827,0.009949692,0.01350004,0.01406582,0.004350858,0.002769016,0.06323795,0.004910029,0.01814909,0.02855862],"study_design_scores_gemma":[0.008199924,0.001274849,0.599377,0.00618979,0.01077823,0.001077097,0.004833523,0.001081469,0.03587904,0.00007764601,0.3283879,0.002843499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.822822,0.0004298437,0.00009118089,0.00008732525,0.001434199,0.0003322539,0.00009637077,0.0001825891,0.1745243],"genre_scores_gemma":[0.8031965,0.0000932544,0.0007510518,0.00002025285,0.0007313729,0.000003344113,0.001553555,0.00004252513,0.1936082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3102388,"threshold_uncertainty_score":0.9996049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009945340339549342,"score_gpt":0.2302205897151794,"score_spread":0.2202752493756301,"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."}}