{"id":"W4249617665","doi":"10.1063/1.5001459.11","title":"10.1063/1.5001459.11","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); Spiral (railway); Collision; 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":[0.0002131917,0.0004880534,0.0004519974,0.0002492756,0.0002835992,0.003438972,0.003257986,0.0003689584,0.0001936813],"category_scores_gemma":[0.0001109028,0.0004519292,0.0002754302,0.000165663,0.00007603509,0.002370083,0.001045048,0.0003989418,0.01295854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008865998,"about_ca_system_score_gemma":0.0001017577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001586559,"about_ca_topic_score_gemma":0.0002790935,"domain_scores_codex":[0.9976559,0.00003047675,0.0004721007,0.0006863962,0.0006284049,0.0005267017],"domain_scores_gemma":[0.9967061,0.00008176586,0.0005292299,0.002387621,0.0001109608,0.0001843117],"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":[0.000005562857,0.00008578696,0.00001615788,0.00007322469,0.00003067079,0.00007178017,0.00001336836,0.000002837529,5.271436e-7,0.0001160982,0.9806423,0.01894173],"study_design_scores_gemma":[0.0002709588,0.0001519041,0.0001274028,0.00009348742,0.00001589905,0.00007032198,0.000001693215,0.003580769,0.000002224908,0.000436285,0.9946845,0.0005645166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008858521,0.00006076317,0.006357347,0.0000745699,0.001049861,0.0002567947,0.9869277,0.0001643684,0.005019982],"genre_scores_gemma":[0.0006437316,0.00002314059,0.0003700707,0.000170725,0.0004355134,0.00002304707,0.9944449,0.00002775078,0.003861088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01837721,"threshold_uncertainty_score":0.9997932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164073009079627,"score_gpt":0.2579294962226333,"score_spread":0.246288766131837,"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."}}