{"id":"W4231293942","doi":"10.1063/1.5001459.2","title":"10.1063/1.5001459.2","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":[0.0002017417,0.0004570655,0.0004238678,0.0002343923,0.0002731615,0.003416439,0.003148583,0.0003477186,0.0001899513],"category_scores_gemma":[0.000110674,0.0004223259,0.0002581247,0.0001524351,0.00007026617,0.0022377,0.0009875825,0.0004418226,0.01657961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008454268,"about_ca_system_score_gemma":0.00009581347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009848452,"about_ca_topic_score_gemma":0.000108383,"domain_scores_codex":[0.9977953,0.00002821273,0.0004405392,0.0006486347,0.0005951548,0.0004921719],"domain_scores_gemma":[0.9968173,0.00007738442,0.0004991457,0.002330286,0.0001039733,0.0001719052],"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":[0.000006267975,0.00007720107,0.00000626388,0.00006601858,0.00003485447,0.00006509377,0.00001172196,0.000002606437,5.107921e-7,0.00008626597,0.9716163,0.02802684],"study_design_scores_gemma":[0.000248967,0.0001689394,0.00008420499,0.00008764277,0.00001429739,0.00006672921,0.000001419086,0.003564339,0.000001931426,0.0005031996,0.9947298,0.0005286005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004115508,0.00007022946,0.006415071,0.00006500736,0.0009676929,0.0002320148,0.9844491,0.0001570792,0.007602621],"genre_scores_gemma":[0.0004654724,0.00002763676,0.0003462746,0.0001589417,0.000410589,0.0000214188,0.9944881,0.00002506632,0.004056461],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02749824,"threshold_uncertainty_score":0.9998229,"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."}}