{"id":"W6887142496","doi":"10.15468/dl.sd6trj","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":[0.001043347,0.001967127,0.001559937,0.004955852,0.0009921801,0.002654596,0.002694516,0.002078037,0.1695177],"category_scores_gemma":[0.006373778,0.0009097938,0.001234107,0.009398404,0.0004521055,0.002307043,0.002577154,0.001969741,0.2382947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526546,"about_ca_system_score_gemma":0.002333908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02110763,"about_ca_topic_score_gemma":0.03266808,"domain_scores_codex":[0.9989522,0.0001470729,0.0001299347,0.0003673818,0.0002289063,0.0001745341],"domain_scores_gemma":[0.9973552,0.000791642,0.0002307118,0.0006906411,0.0006399196,0.0002920195],"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":[0.00002768937,0.00001169564,0.0003896422,0.0005190285,0.00001386597,0.00001479899,0.00002288602,0.0001223832,0.0001070607,0.0003406061,0.9970367,0.001393677],"study_design_scores_gemma":[0.00007566481,0.000009635678,0.001972987,0.0002119764,0.00001503721,0.00003714752,0.00008169864,0.000171196,0.0001944237,0.0007728605,0.9964392,0.00001814058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004407412,0.00002660405,0.00004408039,0.00003991826,0.00001339944,0.000005916475,0.9987854,0.000404828,0.0006358169],"genre_scores_gemma":[0.0001675127,0.00003362559,0.0001950501,0.00004919448,0.000004035699,0.00004606156,0.9988536,0.000159041,0.0004919703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8304823,"threshold_uncertainty_score":0.5670933,"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."}}