{"id":"W6961777003","doi":"10.15468/dl.k52v6d","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","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":[0.0009763234,0.002008609,0.001557015,0.004593364,0.001022592,0.002545615,0.002730209,0.002126109,0.1560464],"category_scores_gemma":[0.006088769,0.0009043762,0.001310776,0.008753122,0.0004454956,0.002427366,0.002573309,0.001993981,0.2162139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514462,"about_ca_system_score_gemma":0.002242595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0213067,"about_ca_topic_score_gemma":0.03443021,"domain_scores_codex":[0.9989837,0.0001443698,0.0001255707,0.0003651266,0.0002174407,0.0001638248],"domain_scores_gemma":[0.9974536,0.0007635286,0.0002210798,0.0006873744,0.0005901994,0.0002842093],"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":[0.00002857654,0.00001205449,0.0003807711,0.0005176383,0.00001458827,0.00001485478,0.00002245279,0.0001280387,0.0001097108,0.0003280276,0.9970531,0.001390072],"study_design_scores_gemma":[0.00008042117,0.00001026298,0.002053123,0.0002057741,0.00001585084,0.00004093062,0.00007973956,0.0001899169,0.0001997218,0.0007892448,0.9963161,0.00001895694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004969501,0.00003162165,0.00004749538,0.0000451112,0.00001518758,0.000006303093,0.9987162,0.000455525,0.0006328305],"genre_scores_gemma":[0.0001755435,0.00003721478,0.0002089335,0.00005420923,0.000004234531,0.0000471057,0.9988299,0.0001540353,0.000488773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439536,"threshold_uncertainty_score":0.5220271,"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."}}