{"id":"W6887159153","doi":"10.15468/dl.u3pzgb","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); 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":[0.0008786659,0.002018404,0.001607855,0.005109765,0.0009487275,0.002510793,0.002701707,0.001894719,0.1679099],"category_scores_gemma":[0.005391393,0.0009356149,0.00115472,0.01001352,0.0004220691,0.002250348,0.002574215,0.001864637,0.228043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445694,"about_ca_system_score_gemma":0.002227827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01894827,"about_ca_topic_score_gemma":0.03315465,"domain_scores_codex":[0.9989675,0.000136552,0.0001335479,0.0003720552,0.0002177241,0.0001727428],"domain_scores_gemma":[0.9976578,0.0006272523,0.0002306236,0.0006096322,0.0005928989,0.0002817942],"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":[0.00003310643,0.0000114113,0.0003634947,0.0005750312,0.00001504709,0.00001395626,0.00002128068,0.0001099757,0.0001281216,0.0003748203,0.996963,0.00139079],"study_design_scores_gemma":[0.00007487751,0.000009298962,0.001829685,0.0001812332,0.00001499487,0.00003587876,0.00005937325,0.0001221588,0.0001786096,0.0007453472,0.9967303,0.00001814587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003964257,0.00002641113,0.00003703636,0.00002900872,0.00001100289,0.000004715983,0.9989058,0.000313385,0.0006329612],"genre_scores_gemma":[0.0001443891,0.00003489558,0.0001739975,0.00004714286,0.000003452202,0.00003797294,0.9989267,0.000131706,0.0004997388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8320901,"threshold_uncertainty_score":0.5617146,"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."}}