{"id":"W6906012240","doi":"10.15468/dl.saad3m","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); Confidentiality; 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":[0.0009662064,0.001902599,0.001598517,0.004931441,0.0009496097,0.002497907,0.002737421,0.0019893,0.1519707],"category_scores_gemma":[0.005812366,0.0009031107,0.001127562,0.0098285,0.0004432229,0.00228028,0.002506933,0.001982097,0.2077068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490462,"about_ca_system_score_gemma":0.002267736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02090701,"about_ca_topic_score_gemma":0.03662131,"domain_scores_codex":[0.9989761,0.0001444,0.0001301981,0.0003664886,0.0002174672,0.0001654534],"domain_scores_gemma":[0.9975286,0.0007066915,0.0002410146,0.000641887,0.0005903147,0.0002914786],"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":[0.00002931447,0.00001143877,0.0004041007,0.000571223,0.00001587341,0.00001533834,0.00002538534,0.0001316525,0.0001146439,0.0003955118,0.9969361,0.001349452],"study_design_scores_gemma":[0.00007457672,0.00000786173,0.001928005,0.0001887856,0.00001436948,0.00003661971,0.0000746587,0.0001466394,0.000170763,0.0008329936,0.9965063,0.00001850366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004163528,0.00002529718,0.00004435794,0.0000325059,0.00001089368,0.000004822493,0.9988986,0.0003520672,0.0005896104],"genre_scores_gemma":[0.0001701086,0.00003287303,0.0002054368,0.00004512057,0.000003361706,0.00004213825,0.9989018,0.000148738,0.0004504382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8480293,"threshold_uncertainty_score":0,"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."}}