{"id":"W6925002753","doi":"10.15468/dl.vzxb9u","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":[0.0009198521,0.001842078,0.001552022,0.004793904,0.001044847,0.002955301,0.002741212,0.001853508,0.1989998],"category_scores_gemma":[0.006203969,0.0009179911,0.001371809,0.009627112,0.0004109091,0.002552065,0.002750221,0.001915992,0.2853386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454627,"about_ca_system_score_gemma":0.002354362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02111047,"about_ca_topic_score_gemma":0.03288364,"domain_scores_codex":[0.9989667,0.0001263531,0.0001298148,0.000369744,0.0002228522,0.0001846288],"domain_scores_gemma":[0.9975051,0.0006572733,0.0002008669,0.0006959999,0.0006789874,0.0002617345],"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":[0.00002832884,0.000009073546,0.0004118045,0.0005065842,0.00001449223,0.0000156736,0.00002530917,0.0001178392,0.0001177369,0.0003819178,0.9965167,0.001854389],"study_design_scores_gemma":[0.00005064698,0.000006519274,0.001616129,0.0001584082,0.00001242217,0.00003275177,0.00007479422,0.0001595882,0.000176605,0.0007842323,0.9969118,0.00001609132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004406362,0.00002875766,0.00006520253,0.00004160032,0.00001633415,0.000005931385,0.9982608,0.0006746461,0.0008626913],"genre_scores_gemma":[0.0001915437,0.00004090376,0.0002671652,0.0000537062,0.000004902914,0.00004598709,0.9984872,0.0002642879,0.0006440947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8010002,"threshold_uncertainty_score":0.6657206,"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."}}