{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001242349,0.003776185,0.002013655,0.003299355,0.0009182732,0.003214713,0.005229037,0.002906083,0.1995622],"category_scores_gemma":[0.003294083,0.0007300816,0.001456591,0.006002984,0.0007153337,0.001798517,0.003282453,0.002324485,0.432855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119849,"about_ca_system_score_gemma":0.001288785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01089556,"about_ca_topic_score_gemma":0.01642889,"domain_scores_codex":[0.9987612,0.0001818467,0.000123293,0.0003150872,0.0004001429,0.0002184232],"domain_scores_gemma":[0.9990789,0.0001489241,0.00006774606,0.0004082144,0.0001979255,0.00009824719],"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":[0.00005059942,0.00006108964,0.001087512,0.0005056004,0.00003334147,0.00005086693,0.00002070722,0.001016806,0.0001388974,0.0005509006,0.9778134,0.01867017],"study_design_scores_gemma":[0.0001426948,0.00004515846,0.00321229,0.0002676442,0.00002053927,0.0001840917,0.00008765524,0.004900963,0.0009856077,0.003361398,0.9867534,0.00003849417],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009460786,0.0005241091,0.001221516,0.0003639227,0.0002758228,0.00008876448,0.9852658,0.005476204,0.005837868],"genre_scores_gemma":[0.001414587,0.0002543437,0.001090964,0.00008136914,0.00003053206,0.0001492463,0.9933172,0.0001620909,0.003499724],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8004378,"threshold_uncertainty_score":0.6676021,"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."}}