{"id":"W6943436574","doi":"10.15468/dl.sq9gj4","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); Range (aeronautics); Confidentiality","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":[0.001034634,0.002062535,0.001694603,0.005527671,0.001055164,0.002768697,0.002924411,0.002183083,0.1656084],"category_scores_gemma":[0.006232966,0.0009668123,0.001216879,0.01053719,0.0004713997,0.002503682,0.002692651,0.00208117,0.223943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635913,"about_ca_system_score_gemma":0.002355249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164396,"about_ca_topic_score_gemma":0.03541796,"domain_scores_codex":[0.9988827,0.0001535203,0.0001449711,0.0003944812,0.0002380338,0.0001863858],"domain_scores_gemma":[0.9973583,0.0007765947,0.0002439384,0.0006912,0.0006222836,0.0003076583],"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":[0.00002874193,0.00001186099,0.0003706437,0.0005810253,0.0000152086,0.00001562472,0.00002410999,0.0001206418,0.0001111619,0.0003724077,0.9970087,0.001339852],"study_design_scores_gemma":[0.00007373127,0.000008631687,0.00182866,0.0002043231,0.00001497133,0.00003888398,0.00007837112,0.0001449412,0.0001714006,0.0007560584,0.9966619,0.0000182011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004097665,0.00002823106,0.00004147889,0.00003528439,0.00001194305,0.000005198435,0.9989063,0.0003377707,0.0005928397],"genre_scores_gemma":[0.0001566347,0.00003520711,0.0001819208,0.00004438199,0.00000344017,0.00004102444,0.9989312,0.0001387187,0.0004674224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8343916,"threshold_uncertainty_score":0.5540153,"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."}}