{"id":"W6943401344","doi":"10.15468/dl.udmfje","title":"Occurrence Download","year":2016,"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":[0.0009481735,0.001932006,0.001508892,0.004896517,0.001007782,0.002451798,0.002947809,0.00209454,0.1373215],"category_scores_gemma":[0.005902803,0.000845419,0.001202428,0.0094597,0.000460956,0.002495612,0.00273115,0.002080295,0.2092522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659498,"about_ca_system_score_gemma":0.002401196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02158588,"about_ca_topic_score_gemma":0.03899796,"domain_scores_codex":[0.9989675,0.0001433785,0.0001286198,0.00035523,0.0002337646,0.00017144],"domain_scores_gemma":[0.9975478,0.0006323012,0.000231893,0.0006883885,0.0006116393,0.0002879757],"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":[0.00002777057,0.00001268854,0.0004106238,0.0004879321,0.00001334858,0.00001524931,0.00002506234,0.0001255721,0.000109892,0.0003888168,0.9969278,0.001455206],"study_design_scores_gemma":[0.00006580039,0.000008766769,0.001886686,0.00018706,0.00001226729,0.00004093287,0.00008096319,0.000160439,0.0001755035,0.0007614493,0.9966036,0.0000165488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005891937,0.00003526033,0.00005304906,0.00004564744,0.00001574681,0.000006323716,0.9985889,0.0004412172,0.000754952],"genre_scores_gemma":[0.000162068,0.00003425642,0.0002015173,0.00004388467,0.000003558845,0.00003951732,0.9989045,0.0001319025,0.0004787955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8626785,"threshold_uncertainty_score":0.4593862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}