{"id":"W4243037001","doi":"10.1063/1.5001459.3","title":"10.1063/1.5001459.3","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":[0.0001980482,0.0004576161,0.0004240321,0.0002346034,0.0002713157,0.003428121,0.003133105,0.0003482329,0.0001929727],"category_scores_gemma":[0.0001087587,0.0004228298,0.0002592597,0.0001526026,0.00007060643,0.002282347,0.0009988616,0.0004388265,0.016779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008374461,"about_ca_system_score_gemma":0.00009585579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009479826,"about_ca_topic_score_gemma":0.0001078213,"domain_scores_codex":[0.9977945,0.00002780979,0.000441292,0.000648002,0.0005958143,0.0004925846],"domain_scores_gemma":[0.9968261,0.00007658475,0.0004994666,0.002322184,0.0001040726,0.000171554],"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":[0.000006332691,0.00007789628,0.000006415926,0.00006722892,0.00003489383,0.00006637027,0.0000116067,0.00000247053,5.200354e-7,0.00008834143,0.9728156,0.0268223],"study_design_scores_gemma":[0.0002496703,0.0001679134,0.00008633711,0.00008660959,0.00001430251,0.00006730472,0.000001356828,0.003441658,0.000001976346,0.0005049312,0.9948493,0.0005285901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004128558,0.00007007751,0.0061876,0.00006568372,0.0009736427,0.0002375002,0.9847638,0.0001580088,0.007502427],"genre_scores_gemma":[0.0004484975,0.00002816544,0.0003509477,0.0001659134,0.0004082627,0.00002188765,0.9946356,0.00002547844,0.003915244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02629371,"threshold_uncertainty_score":0.9998224,"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."}}