{"id":"W6924492734","doi":"10.15468/dl.pghffd","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":[0.0009400666,0.001840657,0.001530118,0.004847691,0.001036753,0.002946231,0.002761901,0.001856313,0.2026828],"category_scores_gemma":[0.006255714,0.0009199042,0.001378498,0.009792809,0.0004101047,0.002565524,0.002786567,0.001901852,0.2858548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471636,"about_ca_system_score_gemma":0.002357786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026834,"about_ca_topic_score_gemma":0.03188573,"domain_scores_codex":[0.9989424,0.0001300004,0.0001350194,0.0003754775,0.0002285274,0.0001885481],"domain_scores_gemma":[0.9975094,0.0006539068,0.0002046732,0.0006931294,0.0006753171,0.000263669],"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":[0.0000288923,0.00000901169,0.0004015489,0.0005198122,0.00001458579,0.00001565835,0.00002511734,0.0001157546,0.0001232815,0.0003879286,0.996439,0.001919604],"study_design_scores_gemma":[0.00004907374,0.000006395617,0.001536814,0.0001573733,0.00001196674,0.00003210125,0.00007153308,0.000146423,0.0001703982,0.0007569895,0.9970456,0.00001536348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004354654,0.000030136,0.00006570385,0.0000434121,0.00001686996,0.00000604131,0.9982678,0.0006467032,0.0008797859],"genre_scores_gemma":[0.0001893651,0.00004263701,0.0002680182,0.00005641557,0.000004964109,0.00004690675,0.9984717,0.0002567258,0.0006633191],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7973173,"threshold_uncertainty_score":0.6780414,"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."}}