{"id":"W6887184844","doi":"10.15468/dl.se4hsc","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); Ophiostoma; Range (aeronautics); Alien","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":[0.0009613791,0.001916724,0.001545831,0.004729035,0.001047769,0.00263382,0.002720817,0.002115525,0.1739845],"category_scores_gemma":[0.0063625,0.0008928555,0.001249587,0.008707988,0.0004302172,0.002597395,0.002623068,0.002065974,0.2412885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560193,"about_ca_system_score_gemma":0.002312349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02063321,"about_ca_topic_score_gemma":0.03415833,"domain_scores_codex":[0.9989522,0.0001479331,0.0001226193,0.0003801991,0.0002264502,0.000170478],"domain_scores_gemma":[0.9973189,0.0007738841,0.0002212712,0.0007212836,0.0006729036,0.0002917105],"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":[0.00002520991,0.00001078284,0.0003423386,0.0004451415,0.00001163648,0.00001290964,0.00002007288,0.0001048266,0.00009341593,0.0003281947,0.9972928,0.001312493],"study_design_scores_gemma":[0.00006489079,0.00000853956,0.00169036,0.0001877607,0.00001273112,0.00003336913,0.0000725644,0.0001641534,0.0001724245,0.0008226514,0.9967535,0.00001704524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004370857,0.00002825234,0.0000473092,0.00004589954,0.000014617,0.000006338351,0.998629,0.0004616595,0.0007233622],"genre_scores_gemma":[0.0001711303,0.0000360163,0.0002223863,0.00005792651,0.000004481312,0.00004807427,0.9987181,0.0001810513,0.0005607333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8260155,"threshold_uncertainty_score":0.5820361,"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."}}