{"id":"W6887218935","doi":"10.15468/dl.uwwc74","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); Software; 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":[0.0009556491,0.00195486,0.001608977,0.004930811,0.001022662,0.002583118,0.002902481,0.002051095,0.1383482],"category_scores_gemma":[0.005717207,0.0009028311,0.001131763,0.01018141,0.0004516343,0.002287223,0.002593913,0.002002077,0.1964788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172588,"about_ca_system_score_gemma":0.002688765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03097196,"about_ca_topic_score_gemma":0.05279064,"domain_scores_codex":[0.9989545,0.0001389837,0.0001278977,0.0003633989,0.0002429628,0.0001722677],"domain_scores_gemma":[0.9977023,0.0006176356,0.0002163845,0.0005982862,0.000589643,0.0002757533],"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":[0.0000285362,0.00001103261,0.0003760736,0.0005159692,0.00001528445,0.00001519058,0.00002572115,0.000123856,0.0001127153,0.0004166576,0.9970635,0.001295525],"study_design_scores_gemma":[0.00006806845,0.000006707571,0.001844493,0.0001802767,0.00001355375,0.00003541375,0.00007527338,0.0001391275,0.0001839768,0.0007508793,0.9966846,0.00001764656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003994665,0.00002569687,0.00004144487,0.0000327946,0.00000962626,0.000004616546,0.998906,0.0003467421,0.0005931105],"genre_scores_gemma":[0.000152003,0.00003123598,0.0001765103,0.00003880832,0.000002693974,0.0000349804,0.9990026,0.0001313272,0.0004298568],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8616518,"threshold_uncertainty_score":0.4628208,"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."}}