{"id":"W6943497910","doi":"10.15468/dl.r47cae","title":"Occurrence Download","year":2023,"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); Data set; Set (abstract data type)","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":[0.0009796479,0.00197828,0.001599095,0.004593501,0.0009989404,0.002468495,0.002879476,0.002133994,0.1495259],"category_scores_gemma":[0.00583066,0.0009215587,0.00125071,0.009231106,0.0004513889,0.002265135,0.002598082,0.002035206,0.2111096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664411,"about_ca_system_score_gemma":0.002335515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0235289,"about_ca_topic_score_gemma":0.03838956,"domain_scores_codex":[0.99898,0.0001331104,0.0001291364,0.0003567635,0.0002306221,0.0001703934],"domain_scores_gemma":[0.9976882,0.0006396768,0.0002157276,0.0006270618,0.0005653176,0.0002640172],"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":[0.00002991012,0.00001167729,0.0004069241,0.0005259635,0.00001538458,0.00001534465,0.00002638728,0.0001388677,0.0001237325,0.0004018748,0.996816,0.001488136],"study_design_scores_gemma":[0.00007138056,0.000007800589,0.001843159,0.0001866937,0.00001412964,0.00003629461,0.00007514625,0.0001725466,0.0001937396,0.0007681685,0.996613,0.00001801502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004275451,0.00002586247,0.00004874008,0.00003573124,0.00001191778,0.000005227415,0.9987894,0.0004309725,0.0006094955],"genre_scores_gemma":[0.0001651435,0.00003081366,0.0002130336,0.00004417943,0.00000317223,0.0000418416,0.9989152,0.0001602543,0.0004263478],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8504741,"threshold_uncertainty_score":0.5002138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}