{"id":"W2518716409","doi":"10.48550/arxiv.1609.02315","title":"Index of the critical catenoid","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Geometric Analysis and Curvature Flows","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Index (typography); Mathematics; Geology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.000253889,0.0003663347,0.0004650166,0.002306997,0.001811183,0.001920738,0.0006066421,0.0006057789,0.006486075],"category_scores_gemma":[0.001074771,0.0002072498,0.0002765547,0.0004771831,0.001683802,0.001586367,0.001709052,0.0008037389,0.0006829252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147969,"about_ca_system_score_gemma":0.0004600466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598328,"about_ca_topic_score_gemma":0.001030165,"domain_scores_codex":[0.9997074,0.000026325,0.00001409664,0.00006187459,0.0001100303,0.00008025537],"domain_scores_gemma":[0.9995953,0.00006732246,0.00006295619,0.00003272497,0.0001025941,0.000139118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001357232,0.00001741996,0.001875795,0.00008244346,0.00001348052,0.0002580746,0.0004198027,0.001898375,0.007150124,0.9783965,0.002552271,0.007200052],"study_design_scores_gemma":[0.00003308403,0.00009040071,0.004081579,0.00006650257,0.00002767865,0.0006165113,0.000452244,0.01727546,0.00847051,0.9447119,0.02412036,0.00005372415],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8447656,0.001301824,0.01866315,0.0007045199,0.0002989085,0.00004324316,0.0002450235,0.0001474808,0.1338302],"genre_scores_gemma":[0.9847043,0.000272127,0.00296562,0.00007932432,0.0000689037,0.00002620033,0.0001552662,0.00003197762,0.01169622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006486075,"threshold_uncertainty_score":0.02169812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048876974325056,"score_gpt":0.2205698903580945,"score_spread":0.1156821929255889,"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."}}