{"id":"W2345542380","doi":"10.1136/jim-52-suppl2-165","title":"91 SYSTOLIC TIME INTERVALS: A PSYCHOSOMATIC LINK IN NEUROVASCULAR DISORDERS.","year":2004,"lang":"en","type":"article","venue":"Journal of Investigative Medicine","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neurovascular bundle; Link (geometry); Medicine; Cardiology; Internal medicine; Computer science; Surgery; Computer network","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":[],"consensus_categories":[],"category_scores_codex":[0.001229553,0.0002191149,0.0006439632,0.0004234864,0.00004525139,0.0000105557,0.0002660691,0.00007503212,0.0007213973],"category_scores_gemma":[0.003305187,0.0001598664,0.000154318,0.000556441,0.0009031388,0.0001449475,0.00003601624,0.0006464152,0.00009802367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183311,"about_ca_system_score_gemma":0.00009150065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002546616,"about_ca_topic_score_gemma":0.0000457598,"domain_scores_codex":[0.9976901,0.000402698,0.001020933,0.0002200085,0.0003625901,0.0003036575],"domain_scores_gemma":[0.9981879,0.0005312563,0.0006000577,0.0002271567,0.0002353967,0.000218233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001035826,0.003934335,0.2177804,0.001875565,0.003139054,0.005607074,0.4158891,0.001070638,0.04062799,0.0553512,0.01749625,0.2361925],"study_design_scores_gemma":[0.01825382,0.006578697,0.5381098,0.01165842,0.0003449494,0.00165648,0.01456634,0.0001663095,0.0004583338,0.4036484,0.003914971,0.000643539],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581386,0.002147386,0.0005936166,0.03113822,0.0006631652,0.0002646433,0.000002453663,0.00002245784,0.007029419],"genre_scores_gemma":[0.9961918,0.00004213975,0.0007020181,0.002158302,0.0006776656,0.00001171911,0.000002203575,0.00003013503,0.0001840318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4013228,"threshold_uncertainty_score":0.7898794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526878237298183,"score_gpt":0.3172007598671076,"score_spread":0.2719319774941257,"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."}}