{"id":"W6905963912","doi":"10.15468/dl.p8efwv","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); 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":[0.0009996878,0.001888275,0.001535264,0.005028411,0.0009734584,0.002446098,0.002749737,0.002007487,0.1536574],"category_scores_gemma":[0.005537383,0.0008623806,0.001117417,0.009639709,0.0004599234,0.002217821,0.002555922,0.001993323,0.2087177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509702,"about_ca_system_score_gemma":0.002167863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01919021,"about_ca_topic_score_gemma":0.03242565,"domain_scores_codex":[0.999022,0.0001349155,0.0001228515,0.0003405439,0.0002119782,0.000167629],"domain_scores_gemma":[0.9977067,0.0006510608,0.0002302818,0.000604942,0.0005355421,0.0002715223],"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":[0.00002844361,0.00001204014,0.0004086367,0.0005299826,0.00001485274,0.00001464322,0.00002462146,0.0001366345,0.0001199745,0.0003858871,0.9968461,0.00147814],"study_design_scores_gemma":[0.0000723912,0.000008393575,0.001970083,0.00020046,0.00001419077,0.00003825798,0.00007829527,0.0001560254,0.0001856783,0.0007605287,0.9964981,0.0000175515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004677239,0.00002832788,0.00004422332,0.0000349899,0.00001261372,0.000004963963,0.9988719,0.0003335993,0.000622706],"genre_scores_gemma":[0.0001720041,0.0000332757,0.0001950255,0.00004300203,0.000003645624,0.00004144736,0.9989164,0.0001353981,0.0004597962],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8463426,"threshold_uncertainty_score":0.5140351,"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."}}