{"id":"W1967591467","doi":"10.1016/j.catena.2005.01.003","title":"210Pb geochronology of sediment accumulation rates in Mexico City Metropolitan Zone as recorded at Espejo de los Lirios lake sediments","year":2005,"lang":"en","type":"article","venue":"CATENA","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"International Atomic Energy Agency; Consejo Nacional de Ciencia y Tecnología","keywords":"Geology; Sedimentation; Geochronology; Metropolitan area; Bedrock; Accretion (finance); Sediment; Sedimentary rock; Deposition (geology); Geochemistry; Physical geography; Geomorphology; Geography; Archaeology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006386724,0.0001404861,0.0002810929,0.0002241699,0.0001090526,0.000007274221,0.0002199683,0.0002338106,0.01023329],"category_scores_gemma":[0.0001213714,0.0001242501,0.0000484554,0.0002403054,0.0002607233,0.0001287865,0.00003597276,0.0002389767,0.001085795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002860011,"about_ca_system_score_gemma":0.0001080191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336408,"about_ca_topic_score_gemma":0.0758085,"domain_scores_codex":[0.9983689,0.0003093616,0.0003201327,0.0002890925,0.0001560151,0.0005564569],"domain_scores_gemma":[0.999207,0.0002908641,0.0001078604,0.0002096384,0.00005615877,0.000128508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001923639,0.00005346189,0.9969527,0.0000182874,0.00003402947,0.00002420851,0.0001734156,0.001034048,0.0001191797,0.00005781631,0.0004457963,0.0008947162],"study_design_scores_gemma":[0.0008662465,0.000217811,0.9820673,0.00001313902,0.00001500529,0.00005729046,0.0001097537,0.005728942,0.007598464,0.0008648649,0.002325709,0.000135439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888728,0.0007181377,0.00002287147,0.001521218,0.0001423877,0.0002238772,0.00003453202,0.00002211919,0.00844205],"genre_scores_gemma":[0.9973906,0.00009901265,0.0004838245,0.0003194938,0.00005039345,0.000004467033,0.0002700562,0.000003342061,0.001378839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07447208,"threshold_uncertainty_score":0.999692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657605478206052,"score_gpt":0.3178747763672797,"score_spread":0.2812987215852192,"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."}}