{"id":"W4236812447","doi":"10.1063/1.5001459.1","title":"10.1063/1.5001459.1","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); Collision; Spiral (railway); Computer science; Artificial intelligence; Engineering; Computer security; 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":[0.0001994516,0.0004578154,0.0004242904,0.0002343818,0.0002708979,0.003426797,0.003168553,0.0003482146,0.0001965701],"category_scores_gemma":[0.0001088214,0.0004229697,0.0002592615,0.0001524873,0.00007060492,0.002283182,0.00100017,0.0004387975,0.01668378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008392443,"about_ca_system_score_gemma":0.00009626881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009570933,"about_ca_topic_score_gemma":0.0001084262,"domain_scores_codex":[0.9977942,0.00002779075,0.0004414025,0.0006482241,0.0005956956,0.000492745],"domain_scores_gemma":[0.9968231,0.00007672966,0.0004997726,0.002324507,0.000103989,0.0001718458],"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":[0.000006347182,0.00007756548,0.000006288147,0.00006654788,0.00003493684,0.00006553957,0.00001172974,0.000002497785,5.363203e-7,0.00008816217,0.9723527,0.02728718],"study_design_scores_gemma":[0.0002499374,0.0001685879,0.00008799897,0.00008631321,0.00001432399,0.00006565841,0.000001382242,0.003440809,0.000001980783,0.0005096477,0.9948438,0.0005295154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004178733,0.00006944071,0.006290875,0.00006449169,0.0009741,0.0002364764,0.9845493,0.0001544346,0.007619063],"genre_scores_gemma":[0.0004511263,0.00002746135,0.000352984,0.0001637804,0.0004121417,0.00002144359,0.994597,0.00002506349,0.003949038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02675767,"threshold_uncertainty_score":0.9998222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127318577741961,"score_gpt":0.258976581421518,"score_spread":0.2477033956440984,"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."}}