{"id":"W6924589968","doi":"10.15468/dl.s6tqyk","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); Set (abstract data type); Data set","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":[0.0009089014,0.001893027,0.00151446,0.004521505,0.0009961692,0.002305359,0.002757402,0.001980047,0.1472163],"category_scores_gemma":[0.004926214,0.0008965509,0.001153893,0.009026373,0.0004537258,0.002036572,0.002451164,0.001983561,0.2111959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562759,"about_ca_system_score_gemma":0.002236503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02278632,"about_ca_topic_score_gemma":0.03852316,"domain_scores_codex":[0.9991295,0.0001135191,0.0001084306,0.0003021313,0.0001942801,0.0001522336],"domain_scores_gemma":[0.9980496,0.0005245518,0.0001858895,0.0005197079,0.0004872947,0.0002329899],"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":[0.0000281626,0.00001188981,0.0004143555,0.0005292008,0.00001502397,0.00001649179,0.00002900035,0.0001434038,0.0001485043,0.0003997788,0.9967017,0.001562566],"study_design_scores_gemma":[0.00006567805,0.000007314644,0.001896556,0.0001786498,0.00001388311,0.00003681022,0.00008000372,0.0001484063,0.0001967655,0.0006843401,0.9966744,0.00001716734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004822299,0.00002630098,0.00004859142,0.00003299523,0.00001247363,0.000005293277,0.9987921,0.0003844281,0.000649658],"genre_scores_gemma":[0.000166027,0.00003025229,0.0002221824,0.0000408267,0.00000313351,0.0000430989,0.9989042,0.0001514884,0.000438693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8527837,"threshold_uncertainty_score":0.4924877,"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."}}