{"id":"W6924707701","doi":"10.15468/dl.s3gmsc","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); 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":[0.001006784,0.001998572,0.001627852,0.004645882,0.001008168,0.002574704,0.002871274,0.002097951,0.1679338],"category_scores_gemma":[0.006094655,0.0009420763,0.001160893,0.009213757,0.0004496285,0.00249005,0.002566525,0.002058305,0.2300008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152614,"about_ca_system_score_gemma":0.002334344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02004408,"about_ca_topic_score_gemma":0.03560925,"domain_scores_codex":[0.9989478,0.0001523387,0.0001273659,0.0003823386,0.0002220745,0.0001679832],"domain_scores_gemma":[0.9974194,0.0007403038,0.0002318843,0.0007028192,0.0006068345,0.0002987939],"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":[0.00002768012,0.00001089727,0.0003270887,0.0005124707,0.00001373443,0.00001317665,0.00002161647,0.0001143273,0.0001028055,0.0003528151,0.9972532,0.001250215],"study_design_scores_gemma":[0.00007548909,0.000007837308,0.0016512,0.0001801158,0.00001317457,0.00003333908,0.00006473486,0.0001401211,0.0001699406,0.0008460351,0.9968004,0.00001753326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003723582,0.00002495705,0.00004392157,0.0000342321,0.00001116737,0.000005213024,0.9988287,0.0003790851,0.000635458],"genre_scores_gemma":[0.000153844,0.00003119932,0.0002018881,0.00004750401,0.00000344372,0.00004316081,0.9988833,0.0001596565,0.0004760939],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8320662,"threshold_uncertainty_score":0.5617945,"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."}}