{"id":"W6905903405","doi":"10.15468/dl.kddczk","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":"Matching (statistics); Download; Range (aeronautics); State (computer science); 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":[0.0009739514,0.002133286,0.001618044,0.00507745,0.00103285,0.002503076,0.00284283,0.002016795,0.1651773],"category_scores_gemma":[0.006044505,0.0009827488,0.00121654,0.01022711,0.0004619648,0.002317068,0.002719278,0.002018987,0.2191038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541073,"about_ca_system_score_gemma":0.002309864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02043328,"about_ca_topic_score_gemma":0.03435238,"domain_scores_codex":[0.9988809,0.0001516155,0.0001387678,0.0004069303,0.0002372483,0.0001845564],"domain_scores_gemma":[0.9974436,0.0007106242,0.0002471169,0.0006665874,0.0006358207,0.0002963238],"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":[0.00003220946,0.00001152676,0.0003657798,0.0005292622,0.00001425473,0.00001382425,0.00002194185,0.0001171062,0.0001193811,0.0003585699,0.9970289,0.00138718],"study_design_scores_gemma":[0.00007995913,0.000009459558,0.00181035,0.0001818311,0.00001464829,0.00003600605,0.00006682703,0.0001383359,0.0001931168,0.0007959094,0.9966549,0.00001872255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000442559,0.0000262065,0.00004283787,0.00003279674,0.00001282587,0.000004975261,0.9988385,0.000368413,0.0006292935],"genre_scores_gemma":[0.000148279,0.00003222174,0.0002028526,0.00004652386,0.000003600419,0.00004292577,0.998877,0.0001606811,0.0004859417],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8348227,"threshold_uncertainty_score":0.5525731,"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."}}