{"id":"W4231293942","doi":"10.1063/1.5001459.2","title":"10.1063/1.5001459.2","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001178087,0.003720286,0.001995723,0.003199795,0.000909037,0.003275737,0.005227282,0.002909492,0.229329],"category_scores_gemma":[0.003030813,0.0007791801,0.001504955,0.005944137,0.0007181882,0.001747452,0.003337924,0.00232961,0.4796994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114362,"about_ca_system_score_gemma":0.001217072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092671,"about_ca_topic_score_gemma":0.01559884,"domain_scores_codex":[0.9988621,0.0001594354,0.000112343,0.0003038768,0.0003558997,0.000206383],"domain_scores_gemma":[0.9991566,0.000133107,0.00006075166,0.0003753566,0.0001785417,0.00009565856],"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":[0.00005110829,0.00006134534,0.001194566,0.0004862078,0.00003430859,0.00005392534,0.00002074244,0.0009353222,0.0001431865,0.0005296023,0.9782208,0.01826891],"study_design_scores_gemma":[0.0001451873,0.0000422014,0.003161172,0.000263617,0.00002010913,0.0001877469,0.00008653453,0.00448761,0.000936522,0.002957217,0.9876752,0.00003680377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008785191,0.0004841392,0.001154306,0.0003470437,0.0002754843,0.00008512881,0.9850765,0.005683145,0.006015739],"genre_scores_gemma":[0.001473776,0.0002557049,0.001123191,0.00009037811,0.00003236616,0.0001553862,0.9926352,0.0001853998,0.004048601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.770671,"threshold_uncertainty_score":0.7671821,"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."}}