{"id":"W4255693055","doi":"10.1063/1.5001459.13","title":"10.1063/1.5001459.13","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":[0.0002110634,0.0004886981,0.0004516493,0.000247936,0.0002836357,0.003553508,0.003256394,0.000368933,0.0002006253],"category_scores_gemma":[0.0001146613,0.0004520254,0.0002749014,0.000164848,0.00007621654,0.002395296,0.001046694,0.0004675115,0.01669205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008763374,"about_ca_system_score_gemma":0.0001012823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001468492,"about_ca_topic_score_gemma":0.0001977221,"domain_scores_codex":[0.9976528,0.00003041198,0.0004729001,0.0006870038,0.0006317376,0.0005251794],"domain_scores_gemma":[0.9967006,0.00008422786,0.0005289456,0.002389432,0.0001122533,0.0001845686],"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":[0.000007075713,0.00008332998,0.00000956246,0.00007246419,0.00003823682,0.00006945057,0.00001434496,0.000003835851,5.587726e-7,0.00006895408,0.9718486,0.0277836],"study_design_scores_gemma":[0.0002766825,0.000178602,0.0001305176,0.00009404658,0.00001578679,0.00006978172,0.000001677242,0.004384396,0.00000201521,0.0005186319,0.9937604,0.0005674343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007317629,0.00007529109,0.006064926,0.00006984559,0.0011057,0.0002600882,0.984251,0.0001656584,0.007934368],"genre_scores_gemma":[0.0006918378,0.00003072453,0.0003007913,0.0001809163,0.0004667142,0.00002377914,0.9942341,0.00002798345,0.004043079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02721617,"threshold_uncertainty_score":0.9997932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116967108154129,"score_gpt":0.2567297930171274,"score_spread":0.2455601219355861,"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."}}