{"id":"W4251767491","doi":"10.1063/1.5001459.10","title":"10.1063/1.5001459.10","year":2017,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Spiral wave; False positive paradox; Core (optical fiber); Spiral (railway); Collision; Atrial fibrillation; Computer science; Artificial intelligence; Engineering; Medicine; Computer security; Cardiology; Telecommunications; Mechanical engineering","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002261052,0.000511823,0.0004712034,0.00025768,0.0002922424,0.003569587,0.003309889,0.0003903506,0.0005354006],"category_scores_gemma":[0.0001350423,0.0004745435,0.0002878019,0.0001750235,0.0000809124,0.002397,0.00108004,0.0004495555,0.02775644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009493848,"about_ca_system_score_gemma":0.0001112543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009053281,"about_ca_topic_score_gemma":0.000111232,"domain_scores_codex":[0.9975474,0.00003260465,0.0004954204,0.0007183255,0.0006590856,0.0005471647],"domain_scores_gemma":[0.9965855,0.00009037826,0.0005525145,0.002446322,0.0001319367,0.0001932774],"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":[0.000009941198,0.00008808637,0.000004577405,0.00007360984,0.00003929379,0.00006752982,0.00001244133,0.000002966834,5.989913e-7,0.00006651387,0.9733255,0.02630895],"study_design_scores_gemma":[0.0002918339,0.0002098248,0.00007500318,0.00009430112,0.00001703103,0.0000647202,0.000001571113,0.004033293,0.000002444683,0.0004235627,0.9941974,0.0005890691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004819642,0.00007540852,0.004431105,0.00006716182,0.0009109955,0.0002615024,0.9822966,0.000168841,0.01174013],"genre_scores_gemma":[0.0003945667,0.00002412334,0.0003375168,0.0001482267,0.0004591245,0.00002418585,0.9879737,0.00002942939,0.01060915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02722104,"threshold_uncertainty_score":0.9997706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190187213049352,"score_gpt":0.2601799845960185,"score_spread":0.248278112465525,"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."}}