{"id":"W6905650330","doi":"10.15468/dl.kes67b","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); State (computer science); Confidentiality","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":[0.0009092149,0.001923739,0.001577219,0.005075142,0.00108471,0.002803296,0.002797715,0.002139782,0.1628632],"category_scores_gemma":[0.0062105,0.0009381657,0.001399356,0.009726887,0.000437383,0.002538181,0.002667038,0.002022964,0.2307006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160156,"about_ca_system_score_gemma":0.002358883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997503,"about_ca_topic_score_gemma":0.0331331,"domain_scores_codex":[0.9989605,0.0001401743,0.0001359858,0.0003793275,0.0002088351,0.0001750643],"domain_scores_gemma":[0.9976292,0.0006878895,0.0002020408,0.0006246329,0.0005961715,0.0002600294],"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":[0.00002973155,0.00001123621,0.0004496486,0.0006697026,0.00001609158,0.00001703295,0.00002521831,0.0001226373,0.0001206307,0.0003751817,0.996451,0.001711927],"study_design_scores_gemma":[0.00006899181,0.000008623741,0.001858113,0.0002208026,0.00001565209,0.00004428008,0.00007623824,0.0001788283,0.0001801784,0.0007708783,0.9965605,0.00001686806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005009662,0.00003972251,0.0000536384,0.00004492363,0.00001520984,0.000006454031,0.9985459,0.0004962121,0.0007477906],"genre_scores_gemma":[0.0001814624,0.0000450462,0.0002285473,0.00006003373,0.000004604235,0.00004763683,0.998744,0.000168233,0.0005204651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8371369,"threshold_uncertainty_score":0.5448315,"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."}}