{"id":"W6906006948","doi":"10.15468/dl.x8x2k9","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); Alien; Range (aeronautics); Data access","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":[0.001041415,0.001940181,0.001622187,0.005063481,0.001048927,0.002644799,0.00279382,0.002178415,0.1611907],"category_scores_gemma":[0.006437294,0.0008957769,0.001324626,0.009847155,0.0004523491,0.002326673,0.002573651,0.00199081,0.2336019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163347,"about_ca_system_score_gemma":0.002430527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213119,"about_ca_topic_score_gemma":0.03368102,"domain_scores_codex":[0.9988704,0.0001567664,0.0001421653,0.0003957166,0.0002492364,0.0001856581],"domain_scores_gemma":[0.9973013,0.0008104857,0.0002345374,0.0006832731,0.0006868012,0.0002835865],"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":[0.00003085818,0.00001250154,0.0004193174,0.0006054397,0.00001512144,0.0000158816,0.00002427685,0.0001208608,0.0001281214,0.0003573355,0.9967065,0.001563901],"study_design_scores_gemma":[0.00006949459,0.00000933609,0.002023289,0.0002258599,0.00001593858,0.00003722187,0.0000816514,0.0001552111,0.0002063236,0.0007422359,0.996415,0.00001838677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004314008,0.00002858843,0.00004146787,0.00003741964,0.00001199438,0.000005602152,0.9988551,0.0003639679,0.0006127791],"genre_scores_gemma":[0.0001651532,0.0000361864,0.0001902202,0.00004744964,0.000003608682,0.00004390764,0.9989091,0.0001374476,0.0004669574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8388093,"threshold_uncertainty_score":0.5392368,"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."}}