{"id":"W1720178141","doi":"10.1038/523403a","title":"Environmental science: Agree on biodiversity metrics to track from space","year":2015,"lang":"en","type":"article","venue":"Nature","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":417,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Track (disk drive); Biodiversity; Space (punctuation); Environmental science; Computer science; Biology; Ecology","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":["insufficient_payload"],"category_scores_codex":[0.0001945336,0.0001086759,0.00008294662,0.00006171231,0.0001584335,0.00004902899,0.0004120439,0.0002904111,0.01885837],"category_scores_gemma":[0.0001214688,0.00009587254,0.00003637997,0.0007056951,0.0002306484,0.0001632486,0.000224055,0.000508878,0.01472635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443035,"about_ca_system_score_gemma":0.00001030089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00013693,"about_ca_topic_score_gemma":0.00006228837,"domain_scores_codex":[0.9984303,0.00001397481,0.00006267806,0.0003596468,0.0008778416,0.0002555511],"domain_scores_gemma":[0.9993306,0.00001845816,0.00003058794,0.0002470873,0.000006469202,0.0003667598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001027818,0.0003585438,0.1536371,0.000001056382,0.000008051597,0.00002976442,0.001310518,0.00005288117,0.02659631,0.0004226263,0.8127963,0.004684023],"study_design_scores_gemma":[0.000396918,0.0001114613,0.6180338,0.000001859885,0.000008236955,0.000001519495,0.002774595,0.0000138013,0.0176,0.00005012856,0.3608156,0.0001920418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538868,0.00006233618,0.000005144543,0.002149052,0.0003944447,0.0001112988,0.0005035521,0.00003643211,0.04285096],"genre_scores_gemma":[0.9962261,0.000008636408,0.0001448355,0.003118123,0.00003342682,0.000001518693,0.00005332995,0.000003223178,0.0004107851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4643967,"threshold_uncertainty_score":0.9860408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787178924840134,"score_gpt":0.2471317612567803,"score_spread":0.219259972008379,"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."}}