{"id":"W4297424037","doi":"10.21468/scipostphys.13.4.081","title":"Navigating through the O(N) archipelago","year":2022,"lang":"en","type":"article","venue":"SciPost Physics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; California Institute of Technology; Mitsubishi International Corporation; Gordon and Betty Moore Foundation; Simons Foundation","keywords":"Context (archaeology); Unitary state; Limit (mathematics); Simple (philosophy); Space (punctuation); Archipelago; Plane (geometry); Range (aeronautics); Scaling; Path (computing); Computer science; Parametric statistics; Mathematics; Ising model; Algorithm; Applied mathematics; Physics; Statistical physics; Mathematical analysis; Geometry; Statistics; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003509032,0.00007495933,0.00008937562,0.000004439936,0.001496397,0.00002168468,0.0004490582,0.0000198917,0.00212593],"category_scores_gemma":[0.00002074224,0.00005226228,0.0000490017,0.0002993518,0.0002801269,0.00009343278,0.0000803517,0.0008023508,0.0005379477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":7.578064e-7,"about_ca_system_score_gemma":0.00004613699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003211091,"about_ca_topic_score_gemma":0.0004489023,"domain_scores_codex":[0.9988199,0.0003064685,0.00009831796,0.0001783333,0.0002621839,0.0003347771],"domain_scores_gemma":[0.9993199,0.0003581299,0.00004227346,0.0002286788,0.00001628817,0.00003471588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001769891,0.0000109733,0.9805183,0.000003584729,0.0000126752,0.00001373392,0.002526788,0.005896089,0.000002857512,0.001921386,0.0002624783,0.008813446],"study_design_scores_gemma":[0.0005828774,0.0005096142,0.6592612,0.00001260371,0.00003372464,0.0003273522,0.008395465,0.01413947,0.0002185919,0.2945812,0.02147372,0.0004641493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758177,0.0003990802,0.00004948414,0.003070316,0.0003751824,0.0001316995,0.00004036162,0.00003451304,0.02008168],"genre_scores_gemma":[0.9985331,0.000007264224,0.0001629067,0.0009369616,0.0001139919,0.000005020698,0.0001021961,0.000002154294,0.0001364321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3212571,"threshold_uncertainty_score":0.9998035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931922476150667,"score_gpt":0.2837560519057384,"score_spread":0.2544368271442318,"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."}}