{"id":"W1527316157","doi":"10.15353/joci.v8i2.3043","title":"Mapping the Tso Kar basin in Ladakh","year":2012,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wetland; Geography; Structural basin; Altitude (triangle); Ecosystem; Environmental resource management; Remote sensing; Environmental planning; Ecology; Environmental science; Geology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001280071,0.000161242,0.0001325906,0.001208331,0.0008429869,0.0009039879,0.0002629506,0.0002044254,0.001196668],"category_scores_gemma":[0.0003119367,0.0001151161,0.0001415019,0.00186352,0.0003900712,0.0002660813,0.0008708755,0.0001465665,0.0001980937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005748757,"about_ca_system_score_gemma":0.001160705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07540223,"about_ca_topic_score_gemma":0.1614424,"domain_scores_codex":[0.9998441,0.00002849919,0.00001006921,0.00002748362,0.00002123806,0.00006872717],"domain_scores_gemma":[0.9998734,0.00002851579,0.00002829523,0.00001189936,0.00002672934,0.00003119447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001694791,0.0001340003,0.8834608,0.0002556393,0.00005938519,0.001793049,0.01540651,0.003098866,0.01776524,0.001587078,0.002843614,0.07342631],"study_design_scores_gemma":[0.00001043201,0.00005775543,0.9629915,0.00004157049,0.00003267239,0.0004618049,0.02823087,0.002223547,0.001379716,0.0002460396,0.004309224,0.00001488687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956717,0.00005660152,0.0003185101,0.00007736954,0.000003926014,0.00001869169,0.0003916484,0.00003930017,0.003422319],"genre_scores_gemma":[0.9985983,0.00004602533,0.0005040956,0.00001790818,0.000001345909,0.00001448456,0.0002707878,0.000003271339,0.0005438785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07540223,"threshold_uncertainty_score":0.1499267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321957424800812,"score_gpt":0.2389506144399024,"score_spread":0.2067548719598212,"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."}}