{"id":"W6924282293","doi":"10.15468/dl.ngqpqj","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Spatial and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); 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":[0.0007938622,0.001866771,0.001442098,0.004404738,0.0009699524,0.002449132,0.002859695,0.002072082,0.1296326],"category_scores_gemma":[0.005469669,0.0008736702,0.001188843,0.009208574,0.0004309759,0.002236962,0.002322069,0.002110558,0.1828519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666252,"about_ca_system_score_gemma":0.002250508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.024023,"about_ca_topic_score_gemma":0.04172419,"domain_scores_codex":[0.999077,0.0001258618,0.0001210057,0.0003196655,0.0002117623,0.0001446999],"domain_scores_gemma":[0.9979935,0.0005586962,0.0001696705,0.0005193007,0.0005423856,0.0002165079],"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":[0.00003030871,0.00001245484,0.0003854817,0.0005289527,0.00001529959,0.00001629876,0.00002308932,0.0001461704,0.0001040771,0.0004157201,0.9967841,0.001538105],"study_design_scores_gemma":[0.00007900487,0.000007267987,0.001631416,0.0001776029,0.00001371771,0.00003868875,0.00007651094,0.0002062154,0.0001849275,0.0007844584,0.9967839,0.00001636689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004977177,0.000030548,0.00005275177,0.00004104674,0.00001201714,0.000005883804,0.9986966,0.0004292494,0.0006821865],"genre_scores_gemma":[0.000185794,0.00003965218,0.0002402625,0.00004693153,0.000003280259,0.00004221456,0.9988306,0.0001429044,0.0004683355],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8703674,"threshold_uncertainty_score":0.4336643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075085160267738,"score_gpt":0.2620124638896899,"score_spread":0.2312616122870125,"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."}}