{"id":"W6989026161","doi":"","title":"Aerial of ponds and lakes at Tetlin National Wildlife Refuge","year":2013,"lang":"en","type":"other","venue":"","topic":"Legal and Policy Analysis in Indonesia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife refuge; Acre; Aerial survey; Boundary (topology); Vegetation (pathology); Wildlife","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000235001,0.0001060364,0.0002275216,0.0001414295,0.0001123525,0.00003062621,0.0001588042,0.0002796484,0.01860631],"category_scores_gemma":[0.0001031948,0.00008233469,0.0000686291,0.0001347198,0.0003718961,0.00004713877,0.00004811509,0.00006542995,0.0001959682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003814891,"about_ca_system_score_gemma":0.0001354628,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009112602,"about_ca_topic_score_gemma":0.009682729,"domain_scores_codex":[0.9989982,0.00009217553,0.0001610451,0.0001565233,0.0004452593,0.0001467698],"domain_scores_gemma":[0.9995583,0.00007414728,0.0001544519,0.00008631208,0.00005382497,0.00007290683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002973159,0.00001109758,0.0004672588,0.0000105874,0.00004601219,2.076726e-7,0.0003006521,1.131773e-7,0.00001894373,0.2721938,0.7268841,0.00006416558],"study_design_scores_gemma":[0.0001060912,0.000007124385,0.00008700311,0.00001732981,0.0000199099,2.589018e-7,0.00003170675,0.000003440629,0.00000939112,0.0008753213,0.9987351,0.000107328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00271023,0.0001316875,0.00000196273,0.001047437,0.0002142068,0.00009478377,0.00005031676,0.00004598624,0.9957034],"genre_scores_gemma":[0.01418453,0.0001835921,0.000125758,0.0005323733,0.001810057,0.000007612648,0.00001701424,0.00003964327,0.9830994],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.271851,"threshold_uncertainty_score":0.9974858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943240034676588,"score_gpt":0.3119347073880291,"score_spread":0.2925023070412632,"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."}}