{"id":"W6943598521","doi":"10.15468/dl.tqfj2y","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); Listing (finance); Range (aeronautics); Column (typography)","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":[0.001113356,0.001972417,0.001519423,0.005361803,0.0009106445,0.002529281,0.002650774,0.001678218,0.2178966],"category_scores_gemma":[0.006145433,0.001008438,0.001146632,0.009809738,0.0004267046,0.002323663,0.002957168,0.001806616,0.2721586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734529,"about_ca_system_score_gemma":0.00261264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02926855,"about_ca_topic_score_gemma":0.04680551,"domain_scores_codex":[0.9990199,0.0001158976,0.0001214263,0.0003231075,0.0002312696,0.0001883541],"domain_scores_gemma":[0.9971734,0.0006715211,0.0002638812,0.0007125823,0.0008293662,0.000349221],"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":[0.00002394449,0.000007342587,0.0002871307,0.0004700663,0.00001149128,0.00001048854,0.00001785465,0.00007868635,0.00009904111,0.0002909134,0.9974227,0.001280342],"study_design_scores_gemma":[0.00006582996,0.000006362106,0.00185919,0.0002089769,0.00001213301,0.00002691072,0.00005554573,0.00008641138,0.0001671891,0.000615389,0.9968804,0.00001564712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002120708,0.00001494517,0.00003000828,0.0000238712,0.000008674976,0.000004889536,0.9990006,0.0003053681,0.0005904133],"genre_scores_gemma":[0.0001280433,0.00003064887,0.0001832455,0.00004621847,0.000003544056,0.00004310719,0.9988972,0.0001860243,0.0004818629],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7821034,"threshold_uncertainty_score":0.7289368,"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."}}