{"id":"W6905795086","doi":"10.15468/dl.spxj96","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; Identification (biology)","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":[0.0009653814,0.001900875,0.001515692,0.005106234,0.0009663219,0.002656197,0.002688168,0.001973811,0.1823135],"category_scores_gemma":[0.006402405,0.0009123599,0.001204871,0.009633734,0.0004427118,0.002314637,0.002556179,0.001963034,0.2429274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538258,"about_ca_system_score_gemma":0.002233257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046404,"about_ca_topic_score_gemma":0.03249156,"domain_scores_codex":[0.9990376,0.0001305122,0.0001196499,0.0003394946,0.0002069361,0.0001657256],"domain_scores_gemma":[0.9974582,0.0007742058,0.0002313932,0.000644484,0.0006054895,0.0002863181],"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":[0.00002590241,0.00001048826,0.000377533,0.0005438307,0.00001418227,0.00001411128,0.0000233328,0.0001236035,0.0001052536,0.0003403149,0.9969843,0.001437166],"study_design_scores_gemma":[0.00007086618,0.000008665585,0.001916293,0.0002158222,0.00001498955,0.00003509816,0.0000811136,0.0001593048,0.0001776221,0.000760091,0.996543,0.0000170314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003803716,0.00002488716,0.00003945057,0.00003640472,0.00001248825,0.000005200871,0.9988951,0.0003564064,0.000592145],"genre_scores_gemma":[0.0001634755,0.00003429981,0.0001922564,0.00004745007,0.000003904575,0.00004595406,0.9988477,0.0001629788,0.0005018886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8176865,"threshold_uncertainty_score":0.6098994,"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."}}