{"id":"W6961846456","doi":"10.15468/dl.k7aem7","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.0008623995,0.002146071,0.001606457,0.005296481,0.0009035225,0.002630939,0.002905706,0.001905709,0.1364827],"category_scores_gemma":[0.00571002,0.0008663759,0.001207458,0.01078432,0.0004309498,0.002277112,0.002626736,0.001881409,0.2045887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618013,"about_ca_system_score_gemma":0.002631831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02366775,"about_ca_topic_score_gemma":0.04035127,"domain_scores_codex":[0.9989525,0.0001368644,0.0001338807,0.0003591433,0.0002375875,0.00018003],"domain_scores_gemma":[0.9977028,0.000610105,0.0002390319,0.000574982,0.0006052717,0.0002678197],"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":[0.00002975417,0.000009622645,0.0004153711,0.0005075292,0.0000161305,0.00001434392,0.00002037114,0.0001228895,0.0001017353,0.0004056626,0.9970008,0.001355802],"study_design_scores_gemma":[0.00006720467,0.000008125576,0.001770627,0.0001832891,0.00001590759,0.00003761577,0.00005984357,0.0001529714,0.0001872002,0.0008131088,0.9966862,0.00001797557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004439186,0.0000333376,0.00004189798,0.00003309675,0.00001195717,0.000004252084,0.9988467,0.0003696975,0.0006147951],"genre_scores_gemma":[0.0001466735,0.00003836532,0.0001533649,0.00003890417,0.000003263896,0.00003083767,0.9990187,0.0001244594,0.000445377],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8635173,"threshold_uncertainty_score":0.45658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}