{"id":"W4230332610","doi":"10.1063/1.5001459.14","title":"10.1063/1.5001459.14","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); Computer science; Collision; Spiral (railway); 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":[0.0002229188,0.0004884973,0.0004534877,0.000248347,0.0002858106,0.003508651,0.003242414,0.0003790852,0.0001959834],"category_scores_gemma":[0.0001289682,0.0004522247,0.0002756515,0.0001650314,0.00007612909,0.002348612,0.001040534,0.0004803886,0.01636988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008964034,"about_ca_system_score_gemma":0.0001011611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009043513,"about_ca_topic_score_gemma":0.0001230649,"domain_scores_codex":[0.9976298,0.00003094087,0.0004736627,0.0006886945,0.0006504424,0.0005264872],"domain_scores_gemma":[0.9966859,0.00008423541,0.0005301663,0.002389976,0.0001253663,0.0001843618],"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":[0.00000729564,0.00008295765,0.000006889218,0.00007288914,0.00003774042,0.00006888902,0.00001345268,0.000002961887,5.710061e-7,0.00008610424,0.9727671,0.0268532],"study_design_scores_gemma":[0.0002843043,0.0001795322,0.00008403078,0.00009467975,0.00001585963,0.00006862627,0.000001396962,0.003468906,0.000002272262,0.0005252041,0.9947093,0.0005659377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004610101,0.00007574731,0.006829923,0.00007007054,0.001153375,0.0002568683,0.9832377,0.0001642808,0.008165916],"genre_scores_gemma":[0.000510913,0.000029779,0.000371117,0.0001804619,0.000444107,0.0000231933,0.9937244,0.00002774268,0.004688267],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02628726,"threshold_uncertainty_score":0.9997929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138409205099917,"score_gpt":0.258035334254218,"score_spread":0.2466512422032189,"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."}}