{"id":"W4252370696","doi":"10.1063/1.5001459.4","title":"10.1063/1.5001459.4","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":[0.0001994696,0.0004578131,0.00042429,0.0002344369,0.0002709535,0.003427665,0.003168295,0.0003483251,0.0001965036],"category_scores_gemma":[0.0001088446,0.0004229628,0.0002592537,0.0001525267,0.00007060457,0.002283545,0.001000159,0.000438926,0.01668423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000839507,"about_ca_system_score_gemma":0.00009669627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009739601,"about_ca_topic_score_gemma":0.0001104236,"domain_scores_codex":[0.9977939,0.00002778496,0.0004414101,0.0006482236,0.0005958978,0.0004927773],"domain_scores_gemma":[0.9968233,0.00007671804,0.0004997646,0.002324413,0.0001040267,0.0001718503],"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":[0.000006342535,0.00007751452,0.000006335746,0.00006648807,0.00003490883,0.00006524743,0.00001164421,0.000002495369,5.272432e-7,0.00009007214,0.9722722,0.02736622],"study_design_scores_gemma":[0.0002498516,0.0001686181,0.00008697349,0.00008630026,0.00001431855,0.00006563727,0.000001353127,0.003438882,0.000001979944,0.0005114463,0.9948453,0.0005293089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004131941,0.00006931027,0.006282027,0.00006499029,0.0009739964,0.000236445,0.9844349,0.0001544112,0.007742581],"genre_scores_gemma":[0.0004525834,0.0000275523,0.0003529685,0.0001637794,0.0004121641,0.00002143212,0.9946225,0.00002506405,0.003921967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02683691,"threshold_uncertainty_score":0.9998222,"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."}}