{"id":"W6905978299","doi":"10.15468/dl.tgy5bu","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 access","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":[0.001027205,0.001976499,0.001681474,0.005153481,0.001004472,0.002596364,0.002793067,0.002053199,0.1656476],"category_scores_gemma":[0.006036087,0.0009398817,0.001133051,0.01007382,0.0004559717,0.002381591,0.002588969,0.002032323,0.227425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558132,"about_ca_system_score_gemma":0.002339527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085342,"about_ca_topic_score_gemma":0.03514644,"domain_scores_codex":[0.9989554,0.0001475271,0.0001326137,0.0003690436,0.0002256599,0.0001697213],"domain_scores_gemma":[0.9974635,0.0007250477,0.0002409431,0.0006596657,0.0006147825,0.0002961048],"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":[0.00002938409,0.00001148445,0.0003667943,0.0005664232,0.00001476326,0.00001505889,0.00002526064,0.0001199265,0.0001174408,0.0003919396,0.9970181,0.001323382],"study_design_scores_gemma":[0.00007363512,0.000007554992,0.001796348,0.000181013,0.00001349649,0.0000341941,0.00007173886,0.0001292794,0.0001718061,0.0007780301,0.9967253,0.00001765132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003960697,0.0000253393,0.00004445939,0.00003228865,0.00001074033,0.000005096825,0.9988704,0.0003503094,0.0006217171],"genre_scores_gemma":[0.0001617943,0.00003242743,0.0002010868,0.00004314927,0.000003415328,0.0000443214,0.9988746,0.0001551841,0.0004839708],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8343524,"threshold_uncertainty_score":0.5541463,"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."}}