{"id":"W2059915410","doi":"10.1111/j.1365-2656.2008.01382.x","title":"A web resource for the UK's long‐term individual‐based time‐series (LITS) data","year":2008,"lang":"en","type":"article","venue":"Journal of Animal Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Imperial College London","keywords":"Term (time); Series (stratigraphy); Resource (disambiguation); Geography; Business; Computer science; Geology; Paleontology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002158465,0.0009884693,0.001291515,0.008345559,0.0006526165,0.00275186,0.001986037,0.00169134,0.3037626],"category_scores_gemma":[0.02134781,0.0008110594,0.0006770281,0.0150588,0.0003426273,0.004452651,0.002840279,0.001391327,0.2253865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524346,"about_ca_system_score_gemma":0.004410256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03325372,"about_ca_topic_score_gemma":0.04772211,"domain_scores_codex":[0.9984023,0.0001676259,0.0004050735,0.0001820725,0.0007236092,0.0001193323],"domain_scores_gemma":[0.9824764,0.005897891,0.001584351,0.002810756,0.00550939,0.00172122],"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":[0.00008228331,0.00002008231,0.0005310343,0.0004831534,0.00001516679,0.00008316912,0.00004536153,0.000144662,0.0002304871,0.0006667575,0.9662964,0.03140134],"study_design_scores_gemma":[0.00004854133,0.00001562976,0.004820353,0.0002582012,0.00001644259,0.00007948263,0.0000718572,0.0004683462,0.0003024822,0.001490579,0.9923759,0.00005227747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0003942,0.0003793339,0.003810659,0.000732611,0.0002936998,0.00008683423,0.9762646,0.007174453,0.01086377],"genre_scores_gemma":[0.002934138,0.0009722736,0.01143277,0.0006198165,0.0001513464,0.0004946469,0.9532251,0.003317857,0.02685196],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3037626,"threshold_uncertainty_score":0.9930981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06810574458259486,"score_gpt":0.2830435031316982,"score_spread":0.2149377585491033,"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."}}