{"id":"W6962479118","doi":"10.15468/dl.u2pnrz","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); 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":[0.00105469,0.002009694,0.001594526,0.005476931,0.0009162377,0.002632374,0.002849439,0.001926637,0.1420297],"category_scores_gemma":[0.006075846,0.0008806868,0.00118768,0.0109101,0.0004403906,0.002246001,0.002711373,0.002006365,0.2094558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162173,"about_ca_system_score_gemma":0.002532726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082912,"about_ca_topic_score_gemma":0.03564189,"domain_scores_codex":[0.9988809,0.0001511864,0.0001544377,0.0003705761,0.0002522323,0.0001906544],"domain_scores_gemma":[0.9974191,0.0006382019,0.0002737476,0.0007103235,0.0006437576,0.0003148947],"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":[0.0000314648,0.00001145725,0.0004042704,0.000557603,0.00001685459,0.00001452895,0.00002303622,0.0001247918,0.0001162711,0.0004074266,0.9968341,0.001458201],"study_design_scores_gemma":[0.00007418696,0.000007809887,0.001892041,0.0001918872,0.00001425784,0.00003453523,0.000061569,0.0001257901,0.0001827743,0.0007514604,0.9966473,0.00001632761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003869491,0.0000267286,0.00003569365,0.00003030587,0.00001046324,0.000004994704,0.9989754,0.0003003061,0.0005773195],"genre_scores_gemma":[0.0001378596,0.00003227157,0.0001582977,0.00003688113,0.000003310769,0.00003545159,0.9990934,0.0001084146,0.0003940539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8579704,"threshold_uncertainty_score":0.4751366,"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."}}