{"id":"W4255946988","doi":"10.1063/1.5001459.9","title":"10.1063/1.5001459.9","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":[0.001206918,0.003691855,0.001951562,0.003121355,0.0008684993,0.003112108,0.005186268,0.002786046,0.2116234],"category_scores_gemma":[0.003120885,0.0007557783,0.001444543,0.005644619,0.0007138879,0.001711142,0.003283091,0.002249553,0.4508371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110444,"about_ca_system_score_gemma":0.001247986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058596,"about_ca_topic_score_gemma":0.01602318,"domain_scores_codex":[0.9988464,0.000163205,0.0001176167,0.0002998452,0.000367857,0.0002050197],"domain_scores_gemma":[0.999145,0.0001389898,0.00006223279,0.0003759763,0.000181382,0.00009640863],"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":[0.00005004043,0.00005808668,0.001086703,0.0004937895,0.00003405478,0.00005292329,0.00002063145,0.0009286649,0.000137522,0.0005484826,0.9794286,0.01716053],"study_design_scores_gemma":[0.0001542413,0.00004212556,0.003103034,0.0002705774,0.00002010353,0.0001826883,0.00008680405,0.004230258,0.0009711951,0.003072843,0.9878285,0.0000376384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008500752,0.0004778031,0.001097735,0.000330732,0.0002612476,0.00008239907,0.9861277,0.005236377,0.005535849],"genre_scores_gemma":[0.001383142,0.0002484934,0.001060665,0.00008363184,0.00002970844,0.0001442626,0.9932769,0.0001668912,0.003606203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7883766,"threshold_uncertainty_score":0.7079507,"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."}}