{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04382155,0.001213869,0.001875796,0.003479112,0.005015907,0.01175565,0.004150897,0.01595369,0.01100824],"category_scores_gemma":[0.09728501,0.000813028,0.001789971,0.003755107,0.009625463,0.01701487,0.009966368,0.02355082,0.01155997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003226676,"about_ca_system_score_gemma":0.01264158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008768302,"about_ca_topic_score_gemma":0.01039891,"domain_scores_codex":[0.9767234,0.005102518,0.002925189,0.001814664,0.01159563,0.001838586],"domain_scores_gemma":[0.8665028,0.01919826,0.004458802,0.01842932,0.06822219,0.02318852],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006293322,0.0001951668,0.009293462,0.0002159773,0.0001330557,0.00006371521,0.0007095426,0.0006193402,0.0006740931,0.0371532,0.8213773,0.1295022],"study_design_scores_gemma":[0.00005682771,0.0001176372,0.00736655,0.0007670354,0.00009351959,0.0001673138,0.002657027,0.001165445,0.001032015,0.2221475,0.7642369,0.000192161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002273932,0.002226265,0.01892975,0.9443676,0.0133266,0.000135096,0.0006529105,0.0004965798,0.01759125],"genre_scores_gemma":[0.07400724,0.006724762,0.1191387,0.7532469,0.009981797,0.0009160965,0.003886389,0.001143518,0.03095456],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9561784,"threshold_uncertainty_score":0.2317532,"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."}}