{"id":"W6962265463","doi":"10.15468/dl.y9ahzx","title":"Occurrence Download","year":2023,"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); Order (exchange)","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":[0.001046337,0.001970061,0.001594985,0.005776526,0.0009689364,0.002595939,0.002811724,0.001900214,0.1936308],"category_scores_gemma":[0.006147434,0.0009452336,0.001202398,0.01059961,0.0004345452,0.002463499,0.002893673,0.001985354,0.2703063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598205,"about_ca_system_score_gemma":0.002531117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02326152,"about_ca_topic_score_gemma":0.0413676,"domain_scores_codex":[0.9988618,0.0001439382,0.000141389,0.0003873546,0.0002706725,0.000194981],"domain_scores_gemma":[0.9972487,0.0006837021,0.0002525455,0.0007206014,0.0007517773,0.0003426406],"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":[0.00002463701,0.000008192643,0.0002776164,0.0004526261,0.00001223311,0.00001125989,0.0000192564,0.00008141484,0.0001031086,0.0003255289,0.9973245,0.001359708],"study_design_scores_gemma":[0.00005292206,0.00000635514,0.001552184,0.0001652006,0.00001209726,0.00002917296,0.00005584233,0.00009286915,0.0001695786,0.0006603291,0.9971878,0.00001560791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003136975,0.00002428606,0.00004352829,0.00003163587,0.00001091526,0.00000536096,0.9987386,0.0003953145,0.0007189565],"genre_scores_gemma":[0.0001383844,0.00003436906,0.0002002277,0.00004773965,0.000003622161,0.00004106785,0.9987999,0.0001876529,0.0005469525],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8063692,"threshold_uncertainty_score":0.6477597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}