{"id":"W7010290811","doi":"","title":"Gormley - Donna Harpauer - September 1st, 2023","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Economic impact analysis","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":["insufficient_payload"],"category_scores_codex":[0.000540642,0.0005627193,0.0003301471,0.0006045195,0.001692267,0.003695805,0.0005889716,0.002000059,0.6675449],"category_scores_gemma":[0.001818268,0.0003383374,0.000250682,0.0007580337,0.0003387867,0.001628968,0.001566098,0.00203347,0.5215373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00226718,"about_ca_system_score_gemma":0.003400865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06043191,"about_ca_topic_score_gemma":0.2021464,"domain_scores_codex":[0.9995978,0.0000238125,0.00001098515,0.00005377199,0.0002108342,0.0001027841],"domain_scores_gemma":[0.9992207,0.00004301953,0.00002237119,0.00004357045,0.0003663368,0.0003040229],"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":[0.000006944919,0.000004542543,0.00004173104,0.000009514503,2.415472e-7,0.00001036964,0.000003898739,0.000007516535,0.00002440372,0.000351257,0.9918787,0.007660851],"study_design_scores_gemma":[0.000001954024,0.000002549627,0.0002653525,0.00001897837,2.547667e-7,0.00000681591,0.00001747284,0.00001023992,0.00002718967,0.00008694066,0.9995603,0.000001800386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005588,0.001181158,0.0002192418,0.01017137,0.004726881,0.00009566827,0.007991048,0.0007145546,0.9743413],"genre_scores_gemma":[0.0005948108,0.0002477457,0.00004628736,0.0007389412,0.0000603385,0.00001068891,0.0007512055,0.00006374378,0.9974862],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3324551,"threshold_uncertainty_score":0.4742068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00606604159027102,"score_gpt":0.1653388430241041,"score_spread":0.1592728014338331,"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."}}