{"id":"W6924721354","doi":"10.15468/dl.n4whm9","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009168482,0.001829101,0.001531052,0.004852508,0.001040879,0.002921349,0.002741753,0.00185314,0.19535],"category_scores_gemma":[0.006177075,0.0009131643,0.001370059,0.009764746,0.000408276,0.002615899,0.002766439,0.001919536,0.2812902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146073,"about_ca_system_score_gemma":0.002327962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02047067,"about_ca_topic_score_gemma":0.03242429,"domain_scores_codex":[0.9989387,0.0001302109,0.0001375637,0.0003742954,0.0002323381,0.0001868574],"domain_scores_gemma":[0.9975072,0.0006443043,0.0002031424,0.0007047827,0.0006792835,0.0002614806],"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":[0.0000281635,0.000009165621,0.000423074,0.0005030332,0.00001423106,0.0000156196,0.00002465077,0.0001215517,0.0001180363,0.0003834082,0.9964055,0.001953435],"study_design_scores_gemma":[0.00004881162,0.000006567804,0.001636421,0.0001594484,0.00001195478,0.00003396429,0.0000743084,0.0001611033,0.0001714048,0.0007809382,0.9968992,0.00001582023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004568141,0.00003071436,0.00006714226,0.00004345258,0.00001707131,0.000005992503,0.9982536,0.000661233,0.0008750366],"genre_scores_gemma":[0.0001936799,0.00004264128,0.0002726944,0.0000551421,0.000004880218,0.00004450676,0.9984804,0.0002491531,0.0006568915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8046499,"threshold_uncertainty_score":0.6535109,"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."}}