{"id":"W6887092292","doi":"10.15468/dl.mr3kk2","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); 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":[0.001006334,0.001907628,0.001568176,0.004973035,0.0009933662,0.002488697,0.002680575,0.002039205,0.1516234],"category_scores_gemma":[0.006101904,0.0009002035,0.001235027,0.009928358,0.0004499873,0.002225127,0.002541156,0.001957978,0.2179417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585409,"about_ca_system_score_gemma":0.002396014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267473,"about_ca_topic_score_gemma":0.03644726,"domain_scores_codex":[0.9989325,0.0001478875,0.0001354128,0.0003677373,0.0002419482,0.0001744808],"domain_scores_gemma":[0.9973719,0.0007771744,0.0002381811,0.0006796352,0.0006456993,0.0002873807],"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":[0.00003077215,0.00001239565,0.0004031624,0.0005959013,0.00001497519,0.00001571672,0.0000262209,0.0001274875,0.0001271433,0.0003730012,0.9967782,0.001495007],"study_design_scores_gemma":[0.00007270158,0.000009328789,0.002060269,0.0002154005,0.00001512085,0.00003758538,0.00008085487,0.0001454077,0.0001973533,0.000706178,0.9964423,0.00001752688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004660281,0.00002952547,0.00004261061,0.00003667744,0.00001214547,0.000005582115,0.9988198,0.0003728931,0.0006341347],"genre_scores_gemma":[0.0001660756,0.00003582212,0.0001891372,0.00004652827,0.000003487994,0.00004383128,0.9989032,0.0001417774,0.0004702303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8483766,"threshold_uncertainty_score":0.5072309,"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."}}