{"id":"W6906020481","doi":"10.15468/dl.vwfzi1","title":"Occurrence Download","year":2016,"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":[0.000852691,0.002094216,0.00163766,0.005408742,0.0008671965,0.002609233,0.002808688,0.001807751,0.1474923],"category_scores_gemma":[0.005680769,0.0009042258,0.001169935,0.01122747,0.0004055893,0.002355171,0.002617747,0.001843729,0.2130323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610878,"about_ca_system_score_gemma":0.002534843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02402735,"about_ca_topic_score_gemma":0.04069323,"domain_scores_codex":[0.998978,0.0001257614,0.0001374636,0.0003573614,0.0002302296,0.0001712408],"domain_scores_gemma":[0.9977023,0.0005686801,0.0002536027,0.0005935073,0.0006061492,0.0002758692],"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":[0.00003081772,0.000009563852,0.0004026058,0.0005391457,0.00001592779,0.00001428041,0.00002193999,0.0001184868,0.0001148786,0.00043332,0.9968255,0.001473623],"study_design_scores_gemma":[0.00005980762,0.000006859826,0.001707538,0.0001722914,0.00001405923,0.00003399063,0.0000506511,0.0001195513,0.0001792993,0.0007538034,0.9968856,0.0000165184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003817716,0.00002867409,0.00003842606,0.00002850448,0.00001045261,0.000004054181,0.9988468,0.0003462677,0.0006586191],"genre_scores_gemma":[0.0001429291,0.00003801428,0.0001623276,0.00003808755,0.000003163791,0.00003115385,0.9989371,0.0001373676,0.0005099463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8525077,"threshold_uncertainty_score":0.4934108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}