{"id":"W6887321712","doi":"10.15468/dl.yexpwb","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":"Download; Matching (statistics); Range (aeronautics); State (computer science); Confidentiality","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":[0.001159102,0.002004522,0.001681921,0.005409065,0.001107328,0.002883338,0.003010073,0.002099876,0.1709738],"category_scores_gemma":[0.006800861,0.001025039,0.001198782,0.01068329,0.0004801285,0.002552436,0.002737058,0.00213608,0.2311496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689778,"about_ca_system_score_gemma":0.002571751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02330756,"about_ca_topic_score_gemma":0.03870022,"domain_scores_codex":[0.9987703,0.0001681,0.0001643255,0.0004288003,0.0002751422,0.0001932772],"domain_scores_gemma":[0.997075,0.0008527782,0.0002681883,0.0007781977,0.0007004911,0.0003254605],"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":[0.00002711453,0.00001015663,0.000339468,0.0005108833,0.00001451605,0.00001468783,0.00002488466,0.0001099849,0.0001048007,0.0004108927,0.9971861,0.001246474],"study_design_scores_gemma":[0.00006529335,0.000006818728,0.00163783,0.0001830042,0.00001372653,0.00003541731,0.00007141671,0.0001265769,0.0001647458,0.0007758763,0.9969019,0.00001748638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003403346,0.00002264308,0.00004622052,0.00003329498,0.00001115156,0.000004690164,0.9988748,0.0003540234,0.0006191693],"genre_scores_gemma":[0.0001392723,0.00003150375,0.0001945652,0.00004256937,0.000003221093,0.00003892205,0.9989213,0.0001641982,0.0004644438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8290262,"threshold_uncertainty_score":0.5719644,"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."}}