{"id":"W2980577289","doi":"10.1126/science.aaw1620","title":"The geography of biodiversity change in marine and terrestrial assemblages","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":651,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of British Columbia; McGill University; Memorial University of Newfoundland","funders":"H2020 European Research Council; Deutsche Forschungsgemeinschaft; Leverhulme Trust","keywords":"Biodiversity; Species richness; Climate change; Geography; Ecology; Global change; Global biodiversity; Prioritization; Biology","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":[],"category_scores_codex":[0.000364066,0.00003652731,0.00004486954,0.00002851026,0.000102081,0.00002581415,0.0002309432,0.00001342498,0.00242318],"category_scores_gemma":[0.00002285865,0.00002506527,0.0000134874,0.0004353771,0.0007236924,0.0001796732,0.0003558802,0.00003224858,0.0001385019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005131372,"about_ca_system_score_gemma":0.000003792632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009715613,"about_ca_topic_score_gemma":0.0005592745,"domain_scores_codex":[0.9994251,0.00001052888,0.00005787522,0.0001411449,0.0002141406,0.000151177],"domain_scores_gemma":[0.999788,0.00002340243,0.00003197469,0.0001180185,0.000003219084,0.00003538125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005917034,0.000009666616,0.9918384,8.015226e-7,2.344443e-7,2.878495e-7,0.00006167775,1.81695e-7,0.005450313,0.00006031669,0.00004739975,0.002524787],"study_design_scores_gemma":[0.0001440802,0.00002663399,0.9949141,0.000001517682,6.937038e-7,5.047299e-7,0.0002770639,0.00002170711,0.001924736,0.0000409541,0.002614476,0.00003350291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924999,0.00001987328,1.535591e-7,0.0003579053,0.0001349953,0.0001078538,0.000005642146,0.000004691466,0.006868947],"genre_scores_gemma":[0.9998131,0.00009620325,0.000006353182,0.00005907086,0.000003711839,0.00000198185,0.000001068929,4.847241e-7,0.00001798549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007313202,"threshold_uncertainty_score":0.9984887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162088862967867,"score_gpt":0.2411502105685742,"score_spread":0.2195293219388955,"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."}}