{"id":"W6943220583","doi":"10.15468/dl.wcsae7","title":"Occurrence Download","year":2023,"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); Phoca; 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":[0.000996732,0.00201864,0.001632637,0.004882579,0.0009963978,0.002525224,0.002863372,0.002056655,0.1517382],"category_scores_gemma":[0.005984751,0.0009101952,0.001233067,0.009689575,0.0004445524,0.002268141,0.002562449,0.001990775,0.213058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627769,"about_ca_system_score_gemma":0.002342105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02355192,"about_ca_topic_score_gemma":0.03702996,"domain_scores_codex":[0.998961,0.0001391344,0.000130922,0.0003596391,0.0002358627,0.0001734114],"domain_scores_gemma":[0.9976673,0.0006542327,0.0002189087,0.0006230884,0.0005716731,0.0002647497],"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":[0.0000307694,0.00001092434,0.0003756589,0.0005391086,0.00001561528,0.00001510237,0.0000248502,0.0001309285,0.0001254395,0.000392848,0.9968972,0.001441488],"study_design_scores_gemma":[0.00007339408,0.000007792655,0.001794942,0.000190657,0.0000147556,0.00003686363,0.00007146889,0.0001571469,0.0001955457,0.0007550603,0.9966851,0.00001718671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004063212,0.00002677482,0.00004633989,0.00003450111,0.00001129122,0.00000503431,0.9988096,0.0004176029,0.0006083167],"genre_scores_gemma":[0.0001529518,0.00003126046,0.0001892335,0.00004065864,0.000002941389,0.00003777069,0.9989744,0.0001547786,0.0004160143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8482618,"threshold_uncertainty_score":0.507615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}