{"id":"W6943898408","doi":"10.15468/dl.sfe73z","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); 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":[0.001001608,0.001992839,0.001614946,0.004996857,0.001066013,0.002584846,0.002831858,0.002225924,0.1438446],"category_scores_gemma":[0.006017213,0.0008741424,0.001347689,0.00966876,0.0004596081,0.002322579,0.002509688,0.002010152,0.2199797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582418,"about_ca_system_score_gemma":0.002288854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02075532,"about_ca_topic_score_gemma":0.03363189,"domain_scores_codex":[0.9989157,0.0001513181,0.0001377493,0.0003849001,0.0002352513,0.0001750906],"domain_scores_gemma":[0.9974982,0.0007303456,0.0002195372,0.0006634476,0.0006143184,0.0002741262],"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":[0.00003123245,0.00001305603,0.0003912754,0.0005807288,0.00001533415,0.0000161813,0.00002251068,0.0001232375,0.0001265835,0.0003321953,0.9968076,0.001540113],"study_design_scores_gemma":[0.00007477844,0.00001052159,0.00211031,0.0002199412,0.00001599836,0.00004167286,0.00008066024,0.0001684985,0.0002115416,0.0007319554,0.9963157,0.00001851038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005156107,0.00003505649,0.00004319377,0.00004129014,0.00001430043,0.000006283784,0.9987724,0.0003937777,0.0006421235],"genre_scores_gemma":[0.0001628469,0.00003685648,0.0001844044,0.00004788525,0.000003712244,0.0000434832,0.9989401,0.0001235506,0.0004572444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8561554,"threshold_uncertainty_score":0.4812081,"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."}}