{"id":"W6905634060","doi":"10.15468/dl.mf7yyv","title":"Occurrence Download","year":2022,"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","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":[0.001008087,0.001901222,0.001591199,0.004983466,0.0009756265,0.002544678,0.002758239,0.001973964,0.1598271],"category_scores_gemma":[0.00592734,0.0008863964,0.001123136,0.009781949,0.0004402215,0.00228562,0.002507448,0.001972895,0.2150462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495435,"about_ca_system_score_gemma":0.002247958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01941581,"about_ca_topic_score_gemma":0.03301849,"domain_scores_codex":[0.9989823,0.0001380096,0.0001288826,0.0003574324,0.0002246983,0.0001687285],"domain_scores_gemma":[0.997596,0.0006795435,0.0002338347,0.0006325476,0.0005777444,0.0002804305],"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":[0.00002815638,0.00001119766,0.0003817492,0.0005395215,0.00001477077,0.00001440745,0.00002419778,0.0001227708,0.0001203452,0.0003835219,0.9969405,0.001418901],"study_design_scores_gemma":[0.00006491354,0.000007378927,0.00176736,0.0001806231,0.00001345505,0.000032983,0.00007108624,0.0001334403,0.000178723,0.00074418,0.9967893,0.00001653494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004221124,0.00002602571,0.0000443926,0.00003270871,0.00001163778,0.000004995078,0.9988787,0.0003288112,0.0006304496],"genre_scores_gemma":[0.000160922,0.00003217899,0.000197074,0.00004206244,0.000003385055,0.00004284409,0.998894,0.0001401559,0.0004873999],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8401729,"threshold_uncertainty_score":0.5346751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}