{"id":"W6905766473","doi":"10.15468/dl.sm5n7m","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008950573,0.001775471,0.001522234,0.004877901,0.001028622,0.002914227,0.002643676,0.001808815,0.1922362],"category_scores_gemma":[0.006190824,0.0008901296,0.001347097,0.009828407,0.0004028835,0.002511322,0.002752475,0.001907168,0.276795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001414671,"about_ca_system_score_gemma":0.002295066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01951333,"about_ca_topic_score_gemma":0.03132775,"domain_scores_codex":[0.9989221,0.0001322591,0.0001395338,0.0003860043,0.0002350071,0.0001850097],"domain_scores_gemma":[0.9974895,0.0006625844,0.0002084195,0.0007039224,0.0006769556,0.0002586698],"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":[0.00002878742,0.000009404614,0.0004502093,0.0005177679,0.00001496143,0.00001602035,0.00002638817,0.000126069,0.0001226102,0.0004006513,0.9962251,0.00206206],"study_design_scores_gemma":[0.00004709077,0.000006481712,0.00162733,0.0001570862,0.00001229176,0.0000339251,0.00007464472,0.0001548149,0.0001699584,0.0007613304,0.9969393,0.00001571646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004740651,0.00003141446,0.00006818009,0.00004374675,0.00001746921,0.000005786002,0.9982764,0.000635672,0.0008739794],"genre_scores_gemma":[0.0001991453,0.0000439339,0.0002823269,0.0000547738,0.000004977173,0.00004452713,0.9984498,0.0002475876,0.0006728964],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8077638,"threshold_uncertainty_score":0.6430941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}