{"id":"W6887163769","doi":"10.15468/dl.swccau","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); 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":[0.001001333,0.001974386,0.001538437,0.004845703,0.001020478,0.002552737,0.002720644,0.002115543,0.1621956],"category_scores_gemma":[0.00616903,0.0008885552,0.001252324,0.009036444,0.000452541,0.002401324,0.002585528,0.001981912,0.2274068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518978,"about_ca_system_score_gemma":0.002339022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148593,"about_ca_topic_score_gemma":0.03353577,"domain_scores_codex":[0.9989511,0.0001493358,0.0001318693,0.0003660679,0.0002286283,0.0001730755],"domain_scores_gemma":[0.99734,0.0007803742,0.0002272993,0.0007141325,0.0006473165,0.0002907373],"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":[0.0000278949,0.00001196432,0.0003829318,0.0004961736,0.00001282994,0.00001501321,0.00002262927,0.0001200232,0.0001071867,0.0003302261,0.9970564,0.001416791],"study_design_scores_gemma":[0.00007523357,0.000009724631,0.001978154,0.0002087933,0.00001400232,0.00003932106,0.00008495822,0.0001740897,0.000195862,0.0007662654,0.996435,0.00001859065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004725058,0.00002804619,0.00004619142,0.00004287379,0.00001449103,0.000006311906,0.9987489,0.0004227309,0.0006432554],"genre_scores_gemma":[0.0001672595,0.00003374895,0.0002019343,0.00005001447,0.000004051768,0.0000470002,0.9988563,0.0001502749,0.0004894367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8378044,"threshold_uncertainty_score":0.5425984,"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."}}