{"id":"W6943487149","doi":"10.15468/dl.nv88zm","title":"Occurrence Download","year":2018,"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); Reference data","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":[0.0008254625,0.00201317,0.001581618,0.005222949,0.001074892,0.002640813,0.003050092,0.002008983,0.1335186],"category_scores_gemma":[0.005929433,0.0008585975,0.001229446,0.01104828,0.0004382874,0.002190605,0.002465505,0.002070523,0.1941364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001986152,"about_ca_system_score_gemma":0.002931219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04137868,"about_ca_topic_score_gemma":0.06486521,"domain_scores_codex":[0.9990501,0.0001144951,0.0001127454,0.0003281377,0.0002232567,0.0001711314],"domain_scores_gemma":[0.997763,0.0005810595,0.0001982964,0.0005708494,0.0006196701,0.0002671191],"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":[0.00002625589,0.00001041922,0.0004158856,0.0004848884,0.00001577608,0.00001605431,0.00002397599,0.0001297601,0.00009903456,0.0003581003,0.9971095,0.001310377],"study_design_scores_gemma":[0.00006900965,0.00000707358,0.001988208,0.0002019709,0.00001648147,0.00003953846,0.00008459578,0.000186562,0.0001882903,0.0007208359,0.9964799,0.00001751853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004331096,0.00003056026,0.00004075936,0.00003528744,0.00001112428,0.000004876179,0.9988403,0.000393764,0.0006000501],"genre_scores_gemma":[0.000149877,0.00003460452,0.0001661356,0.00003522251,0.000002833675,0.00003299635,0.9990422,0.0001294902,0.0004065813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8664814,"threshold_uncertainty_score":0.4466642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}