{"id":"W6886901024","doi":"10.15468/dl.bdymsw","title":"Occurrence Download","year":2024,"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); UniProt; Set (abstract data type)","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":[0.0009883021,0.002036464,0.001668036,0.004865958,0.001060216,0.002606331,0.00293643,0.002220771,0.1520653],"category_scores_gemma":[0.006587849,0.000952135,0.001242522,0.009657707,0.0004666877,0.002505522,0.00272609,0.00206616,0.2141031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001754959,"about_ca_system_score_gemma":0.00240374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02360565,"about_ca_topic_score_gemma":0.03615636,"domain_scores_codex":[0.9989544,0.0001384466,0.0001373563,0.0003616448,0.0002350884,0.0001730762],"domain_scores_gemma":[0.9975994,0.0006967266,0.0002170971,0.0006146476,0.0006044845,0.0002675908],"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":[0.00003145175,0.00001221536,0.0003834792,0.0005941849,0.00001557013,0.00001675756,0.0000268187,0.0001361706,0.0001256985,0.0003901669,0.9967381,0.001529301],"study_design_scores_gemma":[0.00007974237,0.000008754132,0.001800322,0.000204889,0.00001469084,0.00003984023,0.00008241463,0.0001743104,0.0001828844,0.0007529049,0.9966412,0.00001808897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004630985,0.00003016024,0.00004774891,0.00004095941,0.0000128373,0.000005630467,0.9987518,0.0004490452,0.0006155833],"genre_scores_gemma":[0.0001656126,0.00003578932,0.0002097496,0.00004493265,0.000003328332,0.00004290084,0.9989389,0.0001529384,0.0004059687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8479347,"threshold_uncertainty_score":0.5087092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}