{"id":"W6905954321","doi":"10.15468/dl.vejb83","title":"Occurrence Download","year":2021,"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); Selection (genetic algorithm)","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":[0.0009542179,0.002008148,0.001662218,0.005125285,0.001036807,0.002773333,0.003027583,0.00210495,0.1828529],"category_scores_gemma":[0.00627022,0.0009900065,0.001148701,0.01063292,0.0004525597,0.002560014,0.002609867,0.002154513,0.2556661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819405,"about_ca_system_score_gemma":0.002436693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02375494,"about_ca_topic_score_gemma":0.03803337,"domain_scores_codex":[0.9989678,0.0001330466,0.0001313326,0.0003585782,0.000240246,0.0001690571],"domain_scores_gemma":[0.9975579,0.0006899309,0.0002098679,0.0006095329,0.0006670899,0.0002656047],"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":[0.00002512658,0.00001024828,0.0003071872,0.0005067352,0.00001200775,0.00001370704,0.00002203077,0.0001118402,0.00009300243,0.0003635141,0.9970259,0.001508736],"study_design_scores_gemma":[0.00005972769,0.000006449446,0.001353586,0.0001729972,0.00001148806,0.0000331277,0.00007092514,0.0001447146,0.0001621922,0.0007130661,0.9972562,0.00001556085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000342576,0.00002573367,0.00004720507,0.00003613892,0.00001112789,0.000005333308,0.9986999,0.0003958828,0.0007443278],"genre_scores_gemma":[0.0001497269,0.00003677147,0.0002307104,0.00004356907,0.0000033435,0.00004510137,0.9987587,0.000164459,0.000567631],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8171471,"threshold_uncertainty_score":0.611704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}