{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001221568,0.003758985,0.001964158,0.00313781,0.0008657038,0.003139454,0.005252826,0.002887831,0.2165859],"category_scores_gemma":[0.003112592,0.0007519965,0.00143123,0.005758802,0.0007105326,0.001783411,0.003281539,0.002274655,0.4580351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122115,"about_ca_system_score_gemma":0.001255041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100302,"about_ca_topic_score_gemma":0.01689598,"domain_scores_codex":[0.9988613,0.000165733,0.0001152429,0.0002962716,0.0003551491,0.0002062172],"domain_scores_gemma":[0.9991367,0.0001371997,0.000064432,0.0003814138,0.0001820987,0.00009807519],"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":[0.00005012683,0.00005603631,0.00107852,0.0005014911,0.00003258438,0.00005128302,0.00002111718,0.0009028514,0.0001325831,0.0005328787,0.9798731,0.01676743],"study_design_scores_gemma":[0.000150127,0.00004206673,0.003081032,0.000270431,0.0000200681,0.0001837813,0.00008994801,0.004205495,0.0009475899,0.003186383,0.987785,0.00003806085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008197353,0.0004730705,0.00106275,0.0003297715,0.0002622581,0.00007957025,0.9861458,0.005316195,0.005510877],"genre_scores_gemma":[0.001407879,0.0002540087,0.001037837,0.00008845449,0.00003069391,0.000146135,0.9932375,0.0001778048,0.003619725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7834141,"threshold_uncertainty_score":0.7245522,"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."}}