{"id":"W2800148756","doi":"10.1080/17445647.2018.1462264","title":"Glacial geomorphology of the Marinelli and Pigafetta glaciers, Cordillera Darwin Icefield, southernmost Chile","year":2018,"lang":"en","type":"article","venue":"Journal of Maps","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Universidad de Magallanes","keywords":"Glacier; Ice field; Glacial landform; Glacial period; Geology; Moraine; Landform; Physical geography; Geomorphology; Surge; Terminal moraine; Paleontology; Geography","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":[],"category_scores_codex":[0.0002163105,0.00006619099,0.0001666584,0.00001512839,0.0001902751,0.0000140189,0.000176511,0.0000395699,0.005553765],"category_scores_gemma":[0.00008215792,0.00003909465,0.00006100985,0.0001279823,0.0002335846,0.00005540181,0.00003072769,0.0001285156,0.00001207853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002047228,"about_ca_system_score_gemma":0.00003754756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004854529,"about_ca_topic_score_gemma":0.0009884251,"domain_scores_codex":[0.9993486,0.00003826584,0.0002533825,0.00006909536,0.0001684455,0.0001222388],"domain_scores_gemma":[0.9993958,0.00009803454,0.0002492993,0.0001020248,0.0001078269,0.00004697647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001223838,0.00002245097,0.956576,0.000008566108,0.00007294519,0.000007400861,0.0008030648,0.00005204286,0.0001038139,0.0000563659,0.01794476,0.0242302],"study_design_scores_gemma":[0.000365103,0.0002808183,0.9415853,0.00001517037,0.00003316015,0.00007250078,0.0008250311,0.0001210811,0.00006232424,0.0002832578,0.05629934,0.00005688062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896919,0.0006450159,0.00004549813,0.001935043,0.0008680947,0.00005533652,0.00006777155,0.000002175353,0.006689144],"genre_scores_gemma":[0.9981744,0.000152164,0.0004130421,0.0005270758,0.0004919054,7.511989e-8,0.00000362574,0.000001875247,0.0002357947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03835458,"threshold_uncertainty_score":0.9953553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259946956821007,"score_gpt":0.2009060386586913,"score_spread":0.1883065690904812,"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."}}