{"id":"W6887134606","doi":"10.15468/dl.tam5zd","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":"Download; Matching (statistics); Range (aeronautics); The Internet","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":[0.00106568,0.002018946,0.001625572,0.005835334,0.001002082,0.002627383,0.002773738,0.001939409,0.197738],"category_scores_gemma":[0.006307445,0.0009746793,0.001173007,0.01091808,0.0004459007,0.002476729,0.00293622,0.001969723,0.2744319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622485,"about_ca_system_score_gemma":0.002536814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02386444,"about_ca_topic_score_gemma":0.04150334,"domain_scores_codex":[0.9988143,0.0001538901,0.0001477306,0.0004052893,0.0002759501,0.0002026985],"domain_scores_gemma":[0.9972566,0.0007022637,0.0002564191,0.0006958264,0.0007444007,0.0003444675],"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":[0.00002624875,0.000008440147,0.0002903191,0.0004919044,0.00001255562,0.00001199635,0.00002086392,0.00008391242,0.0001024705,0.0003372846,0.9973119,0.001302137],"study_design_scores_gemma":[0.0000591131,0.000006757985,0.0016146,0.0001736791,0.0000124471,0.0000296514,0.00006183006,0.00009324939,0.0001676929,0.0006575055,0.9971073,0.0000161461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003073011,0.00002213332,0.00003810298,0.00002819004,0.000009696649,0.00000489627,0.9988531,0.0003442611,0.0006688567],"genre_scores_gemma":[0.0001316691,0.00003182087,0.000175422,0.00004259228,0.000003361542,0.0000398279,0.9988891,0.0001715963,0.0005146721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.802262,"threshold_uncertainty_score":0.6614994,"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."}}