{"id":"W6943398387","doi":"10.15468/dl.km7sdj","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Data set","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":[0.000940687,0.002112914,0.001617666,0.005147277,0.0009824618,0.002646016,0.002800171,0.001864766,0.1763252],"category_scores_gemma":[0.005829058,0.0009793517,0.00121477,0.0102866,0.0004277056,0.002447027,0.002699204,0.001934197,0.2448441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148433,"about_ca_system_score_gemma":0.002288632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01896451,"about_ca_topic_score_gemma":0.03310217,"domain_scores_codex":[0.9989059,0.0001506171,0.0001443723,0.0003913172,0.0002294543,0.0001784038],"domain_scores_gemma":[0.997498,0.0006706378,0.0002359098,0.0006773563,0.0006344464,0.0002837423],"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":[0.00003232275,0.0000105563,0.0003210596,0.0005216625,0.00001430605,0.00001290411,0.00002046795,0.0001085103,0.0001132701,0.0003665363,0.9970316,0.001446939],"study_design_scores_gemma":[0.00006814404,0.000008173989,0.001543637,0.0001619739,0.0000134359,0.00003184285,0.00005544785,0.000119123,0.0001690667,0.0007822366,0.9970294,0.00001728449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003582559,0.00002492638,0.00004132933,0.00002967557,0.00001122754,0.000004800465,0.9988589,0.0003459665,0.0006473503],"genre_scores_gemma":[0.0001400826,0.00003404485,0.0001954753,0.00004752994,0.000003760349,0.00004082134,0.998853,0.0001547797,0.0005304725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8236748,"threshold_uncertainty_score":0.5898666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}