{"id":"W6943435800","doi":"10.15468/dl.spfb2v","title":"Occurrence Download","year":2020,"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); Key (lock); Real world 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":[0.001052179,0.002120026,0.001752497,0.005827105,0.0009564406,0.002596316,0.00309416,0.00209474,0.1753726],"category_scores_gemma":[0.006000369,0.001006668,0.001145613,0.0116356,0.000462741,0.002367794,0.002551414,0.002051622,0.2195695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794951,"about_ca_system_score_gemma":0.002645514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02672561,"about_ca_topic_score_gemma":0.03968718,"domain_scores_codex":[0.9989434,0.0001283576,0.0001375347,0.0003560152,0.0002470009,0.0001877162],"domain_scores_gemma":[0.9974208,0.0007111258,0.0002491943,0.000643558,0.0006409875,0.0003343524],"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":[0.00003325292,0.0000116535,0.0003456081,0.0005757286,0.00001530223,0.00001623474,0.00002437769,0.0001209596,0.0001327337,0.0004014338,0.9969502,0.001372606],"study_design_scores_gemma":[0.00007821726,0.000007755963,0.002042636,0.0001835686,0.00001538947,0.00003918413,0.00007049534,0.0001411896,0.0002182583,0.0006787179,0.9965055,0.0000192506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003368316,0.00002061085,0.00003451362,0.00002680612,0.000008251794,0.000004165196,0.9989993,0.000321863,0.0005508265],"genre_scores_gemma":[0.0001318883,0.00002609401,0.0001546617,0.00003407447,0.000002557248,0.00003217981,0.9990778,0.0001308598,0.0004097843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8246274,"threshold_uncertainty_score":0.5866799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}