{"id":"W7036840803","doi":"","title":"Cross-correlation of Dark Energy survey year 3 lensing data with ACT and Planck thermal Sunyaev-Zel'dovich effect observations. II. modeling and constraints on halo pressure profiles","year":2022,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National laboratory; Christian ministry; Research council; Planck; Dark energy; Chinese academy of sciences; Research center","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008515441,0.0002818301,0.0001928478,0.001784908,0.0002381404,0.0007935869,0.0003211302,0.0003263776,0.002226565],"category_scores_gemma":[0.001432279,0.0002214088,0.0006022388,0.001621113,0.0002096819,0.0004404771,0.0007158233,0.0003362624,0.0007580063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005927819,"about_ca_system_score_gemma":0.0003718086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01677365,"about_ca_topic_score_gemma":0.02547201,"domain_scores_codex":[0.9997683,0.00003320241,0.00001494242,0.00005787378,0.000056778,0.00006894865],"domain_scores_gemma":[0.9987975,0.0002839185,0.0003423304,0.000233207,0.0001320725,0.0002109189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003502545,0.00003768726,0.9545302,0.00007824764,0.0003332419,0.000168776,0.0001444836,0.01171713,0.004536589,0.002675579,0.006096522,0.01933137],"study_design_scores_gemma":[0.000007493974,0.00001213926,0.9849411,0.00001179559,0.00004001609,0.00004207423,0.00005824945,0.01053116,0.00113771,0.0004738992,0.00272597,0.00001842439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819565,0.0006474419,0.002408498,0.0002371117,0.00004559132,0.00001217805,0.009845415,0.0002954223,0.004551908],"genre_scores_gemma":[0.988606,0.0002061455,0.0008331214,0.00003238672,0.00003162807,0.000007940895,0.009427031,0.00004705666,0.0008087343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01677365,"threshold_uncertainty_score":0.03335202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02700126961742868,"score_gpt":0.2253683543424835,"score_spread":0.1983670847250548,"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."}}