{"id":"W6943559553","doi":"10.15468/dl.kw68w5","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); Alien; The Internet","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":[0.0009499943,0.001910435,0.001562593,0.005118751,0.001008992,0.002526191,0.0027894,0.00204561,0.1560934],"category_scores_gemma":[0.005828605,0.0008868838,0.001245115,0.01056252,0.0004517152,0.002252514,0.002538015,0.001990065,0.2296404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559574,"about_ca_system_score_gemma":0.002366096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02191309,"about_ca_topic_score_gemma":0.03563385,"domain_scores_codex":[0.9989762,0.0001374157,0.0001276991,0.000357344,0.0002287898,0.0001725477],"domain_scores_gemma":[0.9974535,0.0007239985,0.0002328796,0.0006683573,0.0006401149,0.0002811353],"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":[0.0000281086,0.00001155932,0.0003827414,0.0005542414,0.00001442298,0.00001523832,0.0000252191,0.0001213544,0.000117861,0.0003679586,0.9969138,0.001447436],"study_design_scores_gemma":[0.00006822481,0.000008549734,0.001988946,0.0002069231,0.00001452633,0.00003647081,0.00008537646,0.0001384174,0.0001870814,0.0007241797,0.9965239,0.00001731912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004527745,0.00002722059,0.00004025221,0.0000355993,0.0000122575,0.000005285759,0.9988472,0.0003447161,0.0006421409],"genre_scores_gemma":[0.0001582539,0.00003464733,0.0001816996,0.00004362724,0.000003443957,0.00004248425,0.9989235,0.0001360076,0.0004762929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439066,"threshold_uncertainty_score":0.5221844,"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."}}