{"id":"W4236013044","doi":"10.1063/1.5001459.5","title":"10.1063/1.5001459.5","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":[0.0001983536,0.0004568672,0.00042332,0.0002319872,0.0002700421,0.003420359,0.003160713,0.0003473875,0.0002012617],"category_scores_gemma":[0.0001080717,0.0004221463,0.0002590066,0.0001504177,0.00007043112,0.002162804,0.0009965718,0.000436684,0.01692442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008377132,"about_ca_system_score_gemma":0.00009711127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009721088,"about_ca_topic_score_gemma":0.0001170031,"domain_scores_codex":[0.9978005,0.00002772631,0.0004403073,0.0006463791,0.0005937684,0.0004913155],"domain_scores_gemma":[0.9968343,0.00007647908,0.0004981764,0.002315749,0.0001037432,0.0001715133],"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":[0.000006335561,0.00007576185,0.000006315935,0.00006632829,0.00003487223,0.0000653403,0.00001193843,0.000002516155,5.211802e-7,0.00009064074,0.9722743,0.02736514],"study_design_scores_gemma":[0.0002485497,0.0001653241,0.00008787066,0.00008461306,0.00001401273,0.00006548244,0.000001402319,0.003393866,0.000001911623,0.0005285458,0.9948798,0.0005286567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004192636,0.00006850505,0.005982049,0.00006405891,0.0009651777,0.0002358151,0.9847849,0.0001546073,0.007702957],"genre_scores_gemma":[0.0004949132,0.00002723986,0.0003505834,0.0001625492,0.0004109658,0.0000213962,0.9945686,0.00002503627,0.003938741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02683648,"threshold_uncertainty_score":0.999823,"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."}}