{"id":"W6887041258","doi":"10.15468/dl.mhwtdk","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); 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":[0.001011072,0.001932801,0.001662761,0.005260233,0.0009314066,0.002512521,0.002716738,0.002003712,0.1609588],"category_scores_gemma":[0.006256372,0.0009203728,0.001162968,0.01073566,0.0004317453,0.002232203,0.002457522,0.001879067,0.2140896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503786,"about_ca_system_score_gemma":0.002249626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02012443,"about_ca_topic_score_gemma":0.03238905,"domain_scores_codex":[0.998933,0.0001466658,0.0001466809,0.0003651936,0.0002340323,0.0001744126],"domain_scores_gemma":[0.997387,0.0007626528,0.0002530897,0.0006510742,0.0006494293,0.0002967727],"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":[0.00003246574,0.00001155454,0.0004174896,0.0006430704,0.00001718761,0.00001607289,0.00002375509,0.00013844,0.0001236266,0.0003826558,0.9966784,0.001515365],"study_design_scores_gemma":[0.00008138362,0.000008903196,0.002053614,0.0002156959,0.00001602439,0.00003671975,0.00007064397,0.0001462948,0.00018319,0.000744872,0.9964241,0.00001845306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003829329,0.0000257487,0.00003735197,0.00003019995,0.000009747729,0.000004857779,0.9990514,0.0002893137,0.0005130298],"genre_scores_gemma":[0.0001552873,0.0000336948,0.0001672374,0.00004062318,0.00000339494,0.00004160419,0.9990308,0.0001225849,0.0004047469],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8390412,"threshold_uncertainty_score":0.5384607,"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."}}