{"id":"W6905775589","doi":"10.15468/dl.mawx5h","title":"Occurrence Download","year":2016,"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; Set (abstract data type)","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":[0.001011921,0.002088951,0.001584515,0.005452172,0.0009179792,0.002588111,0.002913547,0.002108091,0.1295893],"category_scores_gemma":[0.006126833,0.0008493173,0.001236347,0.01031155,0.000441818,0.002316338,0.002652965,0.002012497,0.195373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645077,"about_ca_system_score_gemma":0.002473091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02228116,"about_ca_topic_score_gemma":0.03859631,"domain_scores_codex":[0.9988714,0.0001576301,0.0001576338,0.0003692282,0.0002572674,0.0001867998],"domain_scores_gemma":[0.9974263,0.0006551738,0.0002653477,0.0007188238,0.0006278261,0.0003064759],"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":[0.00003277084,0.0000122645,0.0004260679,0.0005860133,0.00001826649,0.00001588836,0.00002262997,0.0001417895,0.0001122208,0.0003915631,0.9967867,0.001453829],"study_design_scores_gemma":[0.00007911125,0.000008827665,0.001956269,0.0001980974,0.00001581596,0.00004049198,0.00006614684,0.0001561922,0.0001810602,0.0007580331,0.9965223,0.00001761336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004221086,0.00003033046,0.00003734689,0.00003468527,0.00001136093,0.000005075877,0.9989594,0.0003289238,0.0005505618],"genre_scores_gemma":[0.0001437888,0.00003362189,0.0001574718,0.00003729915,0.000003227884,0.00003147831,0.9991277,0.00009499734,0.000370452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8704107,"threshold_uncertainty_score":0.4335195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}