{"id":"W6905955465","doi":"10.15468/dl.qjksfe","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); R package","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":[0.001138494,0.001964425,0.001669009,0.00520732,0.001076646,0.002798017,0.00296878,0.002104878,0.1731732],"category_scores_gemma":[0.006481262,0.0009794752,0.001166453,0.01013863,0.0004645448,0.002487316,0.002711054,0.002107533,0.2372164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625207,"about_ca_system_score_gemma":0.002402993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058377,"about_ca_topic_score_gemma":0.03450874,"domain_scores_codex":[0.9988475,0.0001587207,0.0001512171,0.0004008568,0.0002564118,0.0001853736],"domain_scores_gemma":[0.9973143,0.0007867033,0.0002463868,0.0007076698,0.0006445675,0.0003003602],"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":[0.0000280977,0.0000105339,0.000351487,0.0005275622,0.00001436331,0.00001450436,0.00002427747,0.0001124012,0.0001153107,0.0003990858,0.9970255,0.001376893],"study_design_scores_gemma":[0.00006620854,0.000007095635,0.001655013,0.0001941299,0.00001369098,0.00003514295,0.00007120836,0.0001295081,0.0001733221,0.0007656299,0.9968719,0.00001718209],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003622168,0.00002512333,0.00004833452,0.00003318386,0.00001154944,0.000004748646,0.9988422,0.0003568924,0.0006417544],"genre_scores_gemma":[0.0001443542,0.00003252184,0.0001978311,0.00004173634,0.000003284837,0.0000389757,0.9989197,0.0001586463,0.0004630596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8268268,"threshold_uncertainty_score":0.579322,"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."}}