{"id":"W4210731414","doi":"10.1017/9781009157964.004","title":"High Mountain Areas","year":2022,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Environmental and Cultural Studies in Latin America and Beyond","field":"Environmental Science","cited_by":216,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Innsbruck; Universidad de Buenos Aires; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004504253,0.0003465303,0.0003043508,0.0000215326,0.0005471004,0.00001571525,0.0004931595,0.0001042829,0.003717975],"category_scores_gemma":[0.000001867326,0.0003471186,0.0001837132,0.000009225502,0.0006524426,0.00008328941,0.001763363,0.0004156497,0.0002172315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006942906,"about_ca_system_score_gemma":0.000005219951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226121,"about_ca_topic_score_gemma":0.000004242585,"domain_scores_codex":[0.9986024,0.0000272649,0.000143856,0.0005389482,0.0004130931,0.0002744256],"domain_scores_gemma":[0.9993284,0.00002601753,0.0001648764,0.0003439876,0.000003747195,0.0001329517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009346678,0.00003777641,0.00009312961,0.0000208299,0.0001656974,0.0004241931,0.00008492185,0.0001521552,0.0002035049,0.7327251,0.2582822,0.007717078],"study_design_scores_gemma":[0.0002433855,0.00007035365,0.0001720827,0.00001204076,0.000106767,0.00001331278,0.00007433079,0.000006091845,0.00006251546,0.000022274,0.9987663,0.0004505639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00108894,0.00006874725,0.00001087908,0.00003198772,0.0001902972,0.0002440488,0.000220213,0.00007396905,0.9980709],"genre_scores_gemma":[0.003699503,0.0002718893,0.0001092668,0.0001958199,0.00006542748,0.000002003411,0.00009329881,0.00003067592,0.9955321],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7404841,"threshold_uncertainty_score":0.9998981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009599464082199513,"score_gpt":0.1690499263736405,"score_spread":0.1594504622914409,"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."}}