{"id":"W6924782030","doi":"10.15468/dl.vt24dd","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Ardea; Mondrian","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":[0.0009586095,0.002041302,0.001779469,0.0057712,0.001076391,0.002710634,0.002978384,0.002070408,0.1619724],"category_scores_gemma":[0.005739306,0.0009386381,0.001172893,0.011475,0.0004661468,0.002275713,0.002689371,0.001966782,0.2225073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170806,"about_ca_system_score_gemma":0.002710326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02566172,"about_ca_topic_score_gemma":0.04334231,"domain_scores_codex":[0.9989096,0.0001369788,0.0001335186,0.000381438,0.0002531367,0.0001853394],"domain_scores_gemma":[0.9976615,0.0006351586,0.000230351,0.0005828924,0.0006017293,0.0002882666],"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":[0.00002872606,0.00001018282,0.0003675441,0.0005782745,0.00001635411,0.00001505176,0.0000252076,0.0001206063,0.0001258598,0.000405711,0.9968605,0.001446075],"study_design_scores_gemma":[0.00006453595,0.000006867469,0.001787387,0.0001926333,0.00001536036,0.00003712561,0.00006997566,0.0001195477,0.0001842206,0.00072952,0.996775,0.00001785279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003665508,0.00002971543,0.00004076503,0.00002971415,0.00001011263,0.000004283559,0.998885,0.000341248,0.0006225408],"genre_scores_gemma":[0.0001426032,0.0000346504,0.0001750877,0.00003902267,0.000002880644,0.00003396374,0.9989929,0.0001384366,0.0004405417],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8380276,"threshold_uncertainty_score":0.5418516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}