{"id":"W6943374866","doi":"10.15468/dl.kgv8r6","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); Alien; The Internet","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":[0.001016659,0.001870351,0.001547498,0.004969344,0.001018588,0.002654434,0.002795101,0.002085303,0.1657374],"category_scores_gemma":[0.006052964,0.0008933073,0.001204277,0.009228843,0.0004322999,0.002435044,0.002541674,0.001995131,0.2315205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587444,"about_ca_system_score_gemma":0.002286637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046395,"about_ca_topic_score_gemma":0.03334367,"domain_scores_codex":[0.9989954,0.0001458687,0.0001265975,0.0003520013,0.000216803,0.0001633365],"domain_scores_gemma":[0.9976362,0.0007126381,0.0002097687,0.0006000345,0.0005897279,0.0002515319],"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":[0.0000268376,0.00001131367,0.0003692844,0.0005637147,0.00001427206,0.00001564049,0.00002341777,0.0001182675,0.0001147028,0.0003764555,0.9968566,0.001509432],"study_design_scores_gemma":[0.00006557078,0.000008128318,0.001753965,0.000204301,0.00001403457,0.00003706032,0.0000751463,0.0001503747,0.0001773407,0.0007598774,0.9967373,0.00001705702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004054791,0.00003016353,0.00004635842,0.00004062257,0.00001249924,0.000005873707,0.9987738,0.0003850848,0.0006651991],"genre_scores_gemma":[0.0001613234,0.00003836201,0.0002106009,0.00005159826,0.000003837012,0.00004913924,0.9988173,0.0001527276,0.000515099],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8342625,"threshold_uncertainty_score":0.5544469,"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."}}