{"id":"W4230767167","doi":"10.1063/1.5001459.12","title":"10.1063/1.5001459.12","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":[0.0002172138,0.0004871279,0.0004490731,0.0002446258,0.0002831325,0.003438394,0.003192076,0.0003711303,0.0001985907],"category_scores_gemma":[0.0001161716,0.0004509265,0.000271777,0.0001279273,0.00007555096,0.002422628,0.001044835,0.0004659238,0.01463396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009154601,"about_ca_system_score_gemma":0.0001027671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001100423,"about_ca_topic_score_gemma":0.0001898625,"domain_scores_codex":[0.9976528,0.00003099599,0.0004713505,0.0006814235,0.0006343362,0.0005290694],"domain_scores_gemma":[0.9967111,0.00008446053,0.0005425959,0.002380338,0.00009603723,0.0001854724],"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":[0.000007542361,0.00008450358,0.000009403883,0.00007129415,0.00003865595,0.00006952667,0.00001439434,0.000002726826,5.819537e-7,0.00008300347,0.9640834,0.03553502],"study_design_scores_gemma":[0.0002746597,0.0001864861,0.0001174762,0.00009337204,0.00001621811,0.0000723055,0.000001610251,0.0030037,0.000002634097,0.0004790271,0.9951884,0.0005641512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003433452,0.00006494913,0.007976975,0.00006769051,0.001058972,0.0002593766,0.9807062,0.0001620506,0.009669448],"genre_scores_gemma":[0.0005001532,0.00002947568,0.0003769649,0.0001815079,0.0004514678,0.00002316751,0.993781,0.00002768063,0.00462853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03497086,"threshold_uncertainty_score":0.9997942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270820555849186,"score_gpt":0.2567701517952476,"score_spread":0.2440619462367557,"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."}}