{"id":"W6887869553","doi":"10.17635/lancaster/thesis/2733","title":"Sequencing to satellites: Integrating biodiversity surveys across scales","year":2025,"lang":"en","type":"article","venue":"Lancaster EPrints (Lancaster University)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Ecosystem; Ecosystem services; Trophic level; Temporal scales; Land use; Habitat; Climate change; Terrestrial ecosystem; Ecosystem health","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":["insufficient_payload"],"category_scores_codex":[0.0003817785,0.0002195221,0.0002293754,0.0001155084,0.0003200353,0.0001023474,0.0005331882,0.0001040019,0.01439314],"category_scores_gemma":[0.00003225094,0.0002283864,0.00009849492,0.0009903677,0.0001658361,0.0003038296,0.001124744,0.0001799713,0.009232222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203241,"about_ca_system_score_gemma":0.00001332548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000521597,"about_ca_topic_score_gemma":0.00344008,"domain_scores_codex":[0.9983858,0.000169046,0.0001727516,0.0005507442,0.0002051645,0.0005164662],"domain_scores_gemma":[0.9992587,0.00005751458,0.00006625359,0.0004033703,0.00003341855,0.0001807455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004439992,0.00004500001,0.9850112,0.00002113949,0.00002634784,0.00007174072,0.001061926,0.000001686167,0.003151572,0.0003467117,0.002247324,0.007970985],"study_design_scores_gemma":[0.0004315673,0.0000235566,0.8863986,0.00004082904,0.00001170449,0.000004788177,0.009218869,0.00003174918,0.00182105,0.00001505054,0.1017593,0.0002429631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8558701,0.000006278946,0.003865809,0.0003747383,0.0002033599,0.000183453,0.0001369146,0.0000755236,0.1392838],"genre_scores_gemma":[0.9801199,0.00001186283,0.000450899,0.001060155,0.00001882658,0.000001140709,0.00004869348,0.000007714159,0.01828085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1242497,"threshold_uncertainty_score":0.9915392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015733902369887,"score_gpt":0.250723866234064,"score_spread":0.2205665272103651,"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."}}