{"id":"W4238162095","doi":"10.1063/1.5001459.8","title":"10.1063/1.5001459.8","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":[0.0001995252,0.0004577098,0.0004242021,0.000234275,0.0002708143,0.00342448,0.003166321,0.0003481248,0.0001939611],"category_scores_gemma":[0.0001082822,0.0004228636,0.0002592202,0.0001524369,0.00007058346,0.002280679,0.001000327,0.0004386762,0.01680667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008394692,"about_ca_system_score_gemma":0.00009627238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009704173,"about_ca_topic_score_gemma":0.0001101077,"domain_scores_codex":[0.9977944,0.00002778508,0.0004413409,0.0006483732,0.0005954892,0.0004926212],"domain_scores_gemma":[0.9968229,0.00007671461,0.0004996652,0.002324993,0.0001039443,0.0001718187],"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":[0.000006345925,0.00007756147,0.000006374158,0.00006652594,0.00003491921,0.00006551505,0.00001173956,0.000002495561,5.299437e-7,0.00008977703,0.9721007,0.02753753],"study_design_scores_gemma":[0.0002497391,0.0001686046,0.00008749535,0.00008625913,0.00001430995,0.00006563424,0.000001375988,0.003396908,0.000001988925,0.0005100147,0.9948884,0.0005292486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004106789,0.00007001463,0.00627249,0.00006504597,0.0009743947,0.0002366035,0.9845434,0.0001576955,0.00763925],"genre_scores_gemma":[0.0004508419,0.00002784996,0.0003524379,0.0001636783,0.0004123821,0.00002146248,0.9946404,0.00002544874,0.0039055],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02700828,"threshold_uncertainty_score":0.9998223,"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."}}