{"id":"W6887258422","doi":"10.15468/dl.uugxeu","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); Alien; Range (aeronautics)","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":[0.0009675979,0.002014884,0.001616928,0.004962457,0.0009954177,0.002564579,0.002791297,0.002119632,0.1717359],"category_scores_gemma":[0.00588708,0.0008905597,0.001252331,0.009403333,0.0004537699,0.002380546,0.002582723,0.001962462,0.2338621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577048,"about_ca_system_score_gemma":0.002230828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02135792,"about_ca_topic_score_gemma":0.03333344,"domain_scores_codex":[0.9990399,0.0001319487,0.0001177846,0.0003430801,0.0002034064,0.0001637727],"domain_scores_gemma":[0.9975895,0.0007145367,0.0002150344,0.0006254542,0.0005866049,0.0002689405],"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":[0.00002797405,0.00001127397,0.0003742523,0.000571863,0.00001404565,0.00001539081,0.00002417545,0.0001283135,0.0001175784,0.0003430785,0.9968557,0.00151637],"study_design_scores_gemma":[0.00007121119,0.000008652256,0.001804235,0.0002149416,0.00001440254,0.00003551764,0.00007916925,0.0001627114,0.0001879369,0.0007556591,0.9966483,0.00001738572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004315826,0.00002953184,0.00004369203,0.00003798999,0.00001290233,0.000005780803,0.9987845,0.0004056341,0.0006368118],"genre_scores_gemma":[0.0001707325,0.00003708179,0.0002069835,0.00004980838,0.000003968566,0.00004830297,0.9988424,0.000159545,0.0004812717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8282641,"threshold_uncertainty_score":0.5745138,"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."}}