{"id":"W6943666586","doi":"10.15468/dl.wn5nwe","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); The Internet; Real world data","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":[0.001161862,0.001996421,0.001712138,0.005270193,0.001083176,0.002931525,0.003037794,0.002092929,0.1837915],"category_scores_gemma":[0.006793483,0.001029751,0.001195221,0.01072879,0.0004610704,0.002498303,0.002729156,0.002119569,0.2473508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612191,"about_ca_system_score_gemma":0.002440017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037379,"about_ca_topic_score_gemma":0.03303327,"domain_scores_codex":[0.9988216,0.0001588374,0.0001558674,0.0004129158,0.0002658066,0.0001850375],"domain_scores_gemma":[0.9971814,0.0008338593,0.0002578285,0.0007414872,0.0006792702,0.0003061936],"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":[0.00002655263,0.00001039634,0.0003300618,0.0005370768,0.00001493595,0.00001331691,0.00002307465,0.0001074935,0.0001124318,0.00037873,0.9970737,0.001372225],"study_design_scores_gemma":[0.00006196841,0.000006735386,0.001577033,0.0001879502,0.00001428287,0.00003279,0.0000682941,0.0001232975,0.0001821537,0.000740211,0.9969881,0.00001719302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000339663,0.00002439583,0.0000489878,0.00003240315,0.00001113672,0.000004861485,0.9988539,0.0003706348,0.0006197078],"genre_scores_gemma":[0.0001456438,0.00003263652,0.000202327,0.00004199446,0.000003210485,0.00004275172,0.998892,0.0001751864,0.0004643303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8162085,"threshold_uncertainty_score":0.6148437,"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."}}