{"id":"W6962042230","doi":"10.15468/dl.ma79cs","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); Data set","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":[0.001006345,0.002017005,0.001645232,0.005001012,0.001031638,0.002605354,0.002883112,0.002172791,0.1522542],"category_scores_gemma":[0.005906336,0.0009320208,0.001170888,0.009683738,0.0004587607,0.00243136,0.002592108,0.002077517,0.2115986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585873,"about_ca_system_score_gemma":0.00232549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02109238,"about_ca_topic_score_gemma":0.03617338,"domain_scores_codex":[0.9989329,0.0001482914,0.0001336629,0.0003802953,0.0002327708,0.0001720391],"domain_scores_gemma":[0.9975486,0.0007030444,0.0002359087,0.0006365852,0.0005845616,0.0002912178],"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":[0.00002954047,0.00001206339,0.0003719341,0.000542793,0.00001496427,0.00001592554,0.00002405875,0.0001255624,0.0001152059,0.0003819454,0.9970861,0.001279879],"study_design_scores_gemma":[0.00007928278,0.00000831568,0.001903534,0.0001880349,0.00001437677,0.00003965668,0.00007371153,0.0001488105,0.000182552,0.0008184713,0.9965243,0.00001897823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000411221,0.00002672064,0.00004365527,0.00003524865,0.00001115372,0.000005101227,0.9988734,0.0003564933,0.0006069984],"genre_scores_gemma":[0.0001591286,0.00003167113,0.0001923845,0.00004535243,0.000003341798,0.00004043026,0.998952,0.000136192,0.0004393974],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8477458,"threshold_uncertainty_score":0.5093409,"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."}}