{"id":"W6905948363","doi":"10.15468/dl.w6agae","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":[0.0009922661,0.001941151,0.001559088,0.00497877,0.0009940587,0.002656081,0.002675249,0.002096088,0.1664307],"category_scores_gemma":[0.006305861,0.0008895387,0.001222949,0.009330191,0.0004357622,0.002395265,0.002512712,0.001936638,0.2319578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503785,"about_ca_system_score_gemma":0.002244057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074045,"about_ca_topic_score_gemma":0.03258458,"domain_scores_codex":[0.9989562,0.0001482663,0.0001308645,0.0003689627,0.000225965,0.0001697022],"domain_scores_gemma":[0.9972922,0.0008263316,0.0002343861,0.0007062259,0.0006532213,0.000287644],"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":[0.00002739567,0.0000113496,0.0003939625,0.0005068669,0.00001354749,0.00001495343,0.00002261274,0.0001194567,0.00009880559,0.0003311753,0.997076,0.001383947],"study_design_scores_gemma":[0.00007367653,0.000009391176,0.001993775,0.0002073629,0.00001443647,0.00003829318,0.00008207837,0.0001733507,0.0001826289,0.0007719452,0.9964348,0.00001822102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000447606,0.00002697051,0.00004439414,0.00004057562,0.00001329022,0.000005663547,0.9987932,0.0004074463,0.00062354],"genre_scores_gemma":[0.0001732272,0.00003438911,0.0001957487,0.00004946382,0.000004253437,0.00004523735,0.9988423,0.0001584562,0.0004968979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8335693,"threshold_uncertainty_score":0.5567662,"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."}}