{"id":"W6924389401","doi":"10.15468/dl.kmw4hd","title":"Occurrence Download","year":2015,"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); Data collection","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":[0.001028036,0.001968443,0.001648588,0.005257385,0.0009648831,0.002750345,0.003015635,0.002020656,0.1453062],"category_scores_gemma":[0.006090151,0.0009097175,0.001198174,0.01046511,0.0004254825,0.002450385,0.002665165,0.002087283,0.2036809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016503,"about_ca_system_score_gemma":0.00248463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141655,"about_ca_topic_score_gemma":0.03581113,"domain_scores_codex":[0.9988992,0.0001411411,0.0001415548,0.0003843753,0.0002550262,0.000178535],"domain_scores_gemma":[0.9975978,0.0006389421,0.0002443328,0.0006551811,0.0005762482,0.0002874195],"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":[0.00002584435,0.00001026565,0.0003683139,0.0004805364,0.00001595629,0.00001319283,0.00002174325,0.0001170381,0.0001004352,0.0004206371,0.9971059,0.001320049],"study_design_scores_gemma":[0.0000634161,0.000006825653,0.001775253,0.0001810679,0.00001459873,0.00003427138,0.000061132,0.0001442248,0.0001859808,0.0007982193,0.9967187,0.00001625975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004179876,0.00003069247,0.0000478646,0.00003545572,0.00001174121,0.000004975036,0.9987713,0.0003810689,0.0006751688],"genre_scores_gemma":[0.0001477072,0.00003327029,0.0001702291,0.0000399253,0.000002983338,0.00003373855,0.9990008,0.0001280327,0.000443348],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8546938,"threshold_uncertainty_score":0.4860978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}