{"id":"W2005538627","doi":"10.1007/s12524-013-0343-7","title":"Evidence for Mountain Glacier Changes in Semi-arid Environments based on Remote Sensing Data","year":2014,"lang":"en","type":"article","venue":"Journal of the Indian Society of Remote Sensing","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Glacier; Physical geography; Arid; Glacier morphology; Climate change; Geology; Geography; Remote sensing; Climatology; Cryosphere; Ice stream; Oceanography; Sea ice","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":[0.0007039775,0.0001441213,0.0001316838,0.001294616,0.0004150902,0.0007793572,0.0003595438,0.0002737929,0.00250134],"category_scores_gemma":[0.002401473,0.0001579663,0.000271205,0.001495668,0.0006577144,0.0005166006,0.0004414342,0.0002543748,0.0001730856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115283,"about_ca_system_score_gemma":0.0002509862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272819,"about_ca_topic_score_gemma":0.02258075,"domain_scores_codex":[0.9996815,0.00008805572,0.00004307209,0.00006651835,0.00006324555,0.00005768478],"domain_scores_gemma":[0.9956108,0.001721422,0.001539034,0.0003394834,0.0004609082,0.0003285222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001166524,0.00001609046,0.9969862,0.00001968983,0.000059655,0.00009258273,0.0002224737,0.00005038117,0.0009364232,0.00005091086,0.00006530921,0.001383632],"study_design_scores_gemma":[0.00000178098,0.00001183905,0.9994882,0.000002548651,0.00001014982,0.00004092883,0.0002681015,0.00003228876,0.00005277324,0.00001095742,0.00007950304,9.841585e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980889,0.0001463644,0.00004106888,0.00007283033,0.000003646413,0.000002375954,0.000340505,0.000003675861,0.001300636],"genre_scores_gemma":[0.9995672,0.00005064762,0.00004046045,0.00001352844,0.000005275947,0.000001354974,0.0002511601,0.000001025201,0.00006934199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01272819,"threshold_uncertainty_score":0.02530819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06754247396850127,"score_gpt":0.2689417976211304,"score_spread":0.2013993236526291,"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."}}