{"id":"W2952617311","doi":"","title":"The role of ultra-high density mapping system to unveil hidden signals: A case report","year":2018,"lang":"en","type":"article","venue":"Current research. Cardiology","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Environmental science; Geography","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":[0.003398332,0.0001208097,0.0003750718,0.0001957562,0.0005965288,0.00005042799,0.0003767039,0.00007259248,0.00008050344],"category_scores_gemma":[0.0004775969,0.00007729122,0.000161119,0.0006132347,0.0004984557,0.00004812147,0.00005983519,0.0002804539,0.0002621608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001965517,"about_ca_system_score_gemma":0.0001309863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008490003,"about_ca_topic_score_gemma":0.0008919713,"domain_scores_codex":[0.9972959,0.000838096,0.0003860036,0.0004111881,0.0004515913,0.0006172212],"domain_scores_gemma":[0.9979692,0.0006777169,0.0001024353,0.0005506581,0.000468436,0.0002316215],"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":[0.0002896865,0.00003826326,0.4246031,0.0002237562,0.000969679,0.02002331,0.001519818,0.001009936,0.002570947,0.001921247,0.01697943,0.5298508],"study_design_scores_gemma":[0.0009750889,0.001768855,0.2572717,0.0004506666,0.0002876066,0.06279541,0.05232023,0.02269638,0.005635724,0.00875534,0.5857728,0.001270245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909378,0.002741408,0.0002680552,0.0002146394,0.0006088478,0.0002496622,0.00007922483,0.00002599961,0.004874315],"genre_scores_gemma":[0.9988304,0.0001162853,0.00005061755,0.00001280756,0.0008456128,0.000004030071,0.00004552545,0.000003576434,0.00009116309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5687934,"threshold_uncertainty_score":0.9981126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05554237365903338,"score_gpt":0.316271076434917,"score_spread":0.2607287027758836,"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."}}