{"id":"W6943440327","doi":"10.15468/dl.zrmh6e","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); Species name; Reference data","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":[0.001075119,0.001974605,0.001584045,0.005726781,0.001032029,0.002615843,0.002869813,0.001965837,0.1603077],"category_scores_gemma":[0.006205643,0.0009188144,0.001193242,0.01068747,0.0004751454,0.002377653,0.002816578,0.00196477,0.2334439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688472,"about_ca_system_score_gemma":0.00270493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02453248,"about_ca_topic_score_gemma":0.04203248,"domain_scores_codex":[0.9988227,0.0001626479,0.0001589633,0.0003835085,0.0002736081,0.0001985555],"domain_scores_gemma":[0.9971461,0.0007206876,0.000272122,0.0007765976,0.0007557728,0.0003288309],"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":[0.00002830323,0.00001050262,0.000333384,0.0005045055,0.00001386944,0.00001356545,0.00002150296,0.0001026962,0.0001109323,0.000366295,0.9971513,0.001343115],"study_design_scores_gemma":[0.00006018656,0.00000734057,0.001668702,0.0001750337,0.00001292395,0.00003292047,0.00006290209,0.000100526,0.0001726321,0.0006738152,0.9970167,0.00001633107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003774917,0.000026056,0.00003786411,0.00003355127,0.00001104441,0.000005295235,0.9988385,0.0003380962,0.000671852],"genre_scores_gemma":[0.0001406357,0.00003322114,0.0001713754,0.00004447006,0.000003352709,0.00003612988,0.998953,0.0001336991,0.000484087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8396924,"threshold_uncertainty_score":0.5362826,"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."}}