{"id":"W6961976872","doi":"10.15468/dl.ogkf4a","title":"Occurrence Download","year":2018,"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 set; 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":[0.00098171,0.00183413,0.001491193,0.005836786,0.0009976232,0.002512891,0.002714957,0.001791865,0.1576429],"category_scores_gemma":[0.006099828,0.0008536344,0.001166256,0.011047,0.0004173148,0.00226262,0.002841916,0.001978921,0.2177082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728467,"about_ca_system_score_gemma":0.00299656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03154872,"about_ca_topic_score_gemma":0.0573495,"domain_scores_codex":[0.9988275,0.0001416204,0.0001445125,0.0003987099,0.0002817753,0.000205919],"domain_scores_gemma":[0.9970944,0.0006848087,0.0002708652,0.0007561351,0.0008392024,0.0003546309],"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":[0.00002538234,0.000009308842,0.0003725293,0.0005176857,0.00001499307,0.00001284989,0.00002441017,0.0001021781,0.0001147757,0.0003715924,0.9969922,0.001442215],"study_design_scores_gemma":[0.0000519246,0.000006221608,0.001893402,0.0001765041,0.0000126408,0.00002848084,0.0000664495,0.0001073995,0.0001648798,0.0006344938,0.9968417,0.00001596217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003545766,0.00002312062,0.00003935258,0.00002813577,0.00001029519,0.000004893752,0.9988803,0.0003455554,0.0006328439],"genre_scores_gemma":[0.0001398388,0.00003055754,0.0001870733,0.0000367637,0.000003192342,0.00003529096,0.9989752,0.0001378276,0.0004542831],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8423572,"threshold_uncertainty_score":0.5273679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}