{"id":"W6906151480","doi":"10.15468/dl.yvprm3","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); Confidentiality; Order (exchange)","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":[0.001131981,0.002009108,0.001640552,0.005171726,0.001078452,0.002700832,0.002912679,0.002089912,0.165418],"category_scores_gemma":[0.006584929,0.0009593533,0.001152492,0.01017473,0.0004710039,0.002352161,0.002665727,0.002104634,0.2279142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707837,"about_ca_system_score_gemma":0.002513611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02361791,"about_ca_topic_score_gemma":0.03859017,"domain_scores_codex":[0.9988689,0.0001491959,0.000144592,0.0003902268,0.0002622106,0.0001849185],"domain_scores_gemma":[0.9972619,0.0007923435,0.0002560614,0.0007044682,0.0006741092,0.0003111447],"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":[0.00002718546,0.00001047021,0.0003502029,0.000497513,0.00001411022,0.00001409394,0.00002376637,0.0001149916,0.0001169148,0.000384936,0.9971208,0.001325039],"study_design_scores_gemma":[0.00006584707,0.000007263711,0.001719563,0.0001847588,0.0000140827,0.0000353549,0.00007114872,0.0001333807,0.0001852364,0.0007261495,0.9968399,0.00001744995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003626058,0.00002467678,0.00004467522,0.0000339889,0.00001135978,0.00000473351,0.9988618,0.0003570994,0.0006255457],"genre_scores_gemma":[0.0001467942,0.00003045816,0.0001923202,0.00004127703,0.000003076893,0.00003893964,0.9989477,0.0001566781,0.0004428383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.834582,"threshold_uncertainty_score":0.5533783,"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."}}