{"id":"W6962403087","doi":"10.15468/dl.rnu49b","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":[0.0009996112,0.00197832,0.001652171,0.005013675,0.001009822,0.002636922,0.002876515,0.00214012,0.1577647],"category_scores_gemma":[0.005994144,0.0009291083,0.001156217,0.009700255,0.0004507113,0.002401492,0.002578143,0.002063217,0.2217143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529381,"about_ca_system_score_gemma":0.002322613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060079,"about_ca_topic_score_gemma":0.03528549,"domain_scores_codex":[0.9989265,0.0001495995,0.0001332803,0.0003821531,0.0002332475,0.0001752404],"domain_scores_gemma":[0.997429,0.0007261139,0.0002444084,0.000680934,0.0006165923,0.0003028539],"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":[0.000029191,0.00001178029,0.0003830231,0.0005408063,0.00001481006,0.00001503127,0.00002377339,0.000123509,0.0001137793,0.0003835244,0.997054,0.001306747],"study_design_scores_gemma":[0.00007413387,0.000008104327,0.001858338,0.0001870657,0.00001386035,0.00003644967,0.00007298821,0.0001442929,0.0001767399,0.0008181218,0.9965914,0.0000185419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003984266,0.00002532677,0.00004333893,0.00003479387,0.00001163384,0.000004924045,0.9988829,0.0003581542,0.0005990345],"genre_scores_gemma":[0.0001604779,0.00003197349,0.0001953743,0.00004587282,0.000003504286,0.00004086926,0.9989055,0.000146706,0.0004695903],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8422353,"threshold_uncertainty_score":0.5277755,"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."}}