{"id":"W6943427370","doi":"10.15468/dl.zcu94w","title":"Occurrence Download","year":2021,"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); Data set; 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":[0.00104527,0.001953939,0.001563426,0.004980024,0.001016897,0.002551414,0.00292803,0.002079264,0.145937],"category_scores_gemma":[0.005945413,0.0009176632,0.001166865,0.009504113,0.0004692933,0.002269551,0.00260163,0.002026645,0.2071483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658132,"about_ca_system_score_gemma":0.002376294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02379685,"about_ca_topic_score_gemma":0.0390498,"domain_scores_codex":[0.998975,0.0001388212,0.000124532,0.000356141,0.0002331439,0.0001722891],"domain_scores_gemma":[0.9976153,0.000662729,0.0002257252,0.0006340236,0.0005801985,0.0002820056],"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":[0.000027873,0.00001125456,0.0003779435,0.0005190189,0.00001481382,0.00001505915,0.0000246559,0.0001232932,0.0001223105,0.0004113717,0.9969892,0.001363359],"study_design_scores_gemma":[0.00006510994,0.000007527971,0.001728925,0.0001728749,0.00001367439,0.00003656874,0.00007153663,0.0001376393,0.0001850979,0.0007372359,0.9968271,0.00001673505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004511166,0.00002895761,0.00004868133,0.00003828961,0.00001237369,0.000005147707,0.9987552,0.0004165903,0.0006495906],"genre_scores_gemma":[0.0001663138,0.00003286183,0.0002027019,0.00004323843,0.000003256527,0.00003903347,0.9988949,0.0001640516,0.0004536684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.854063,"threshold_uncertainty_score":0.4882078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}