{"id":"W6906012852","doi":"10.15468/dl.q9vvga","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); 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":[0.001043177,0.00205803,0.001735238,0.005405243,0.0009968261,0.002805599,0.003154087,0.002087629,0.1596697],"category_scores_gemma":[0.006189671,0.000937491,0.001205686,0.01091139,0.0004619767,0.002462923,0.002727083,0.002078179,0.2293682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604217,"about_ca_system_score_gemma":0.00241831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058261,"about_ca_topic_score_gemma":0.03255947,"domain_scores_codex":[0.9989151,0.0001407558,0.0001378082,0.000381526,0.0002391307,0.0001858211],"domain_scores_gemma":[0.9974756,0.0006729717,0.0002503314,0.0006918518,0.0006184388,0.0002909098],"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":[0.00002761171,0.00001043748,0.0003565825,0.0005294466,0.00001590085,0.00001458351,0.0000231094,0.0001169642,0.0001025965,0.0003802896,0.9970757,0.00134688],"study_design_scores_gemma":[0.00007024496,0.000007433096,0.001667984,0.0001861639,0.00001485611,0.00003573982,0.00006930657,0.0001446466,0.0001773357,0.0007815475,0.9968278,0.00001692313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003844092,0.00002847382,0.00004443925,0.00003310691,0.00001189186,0.000004978846,0.9988464,0.0003991207,0.0005931412],"genre_scores_gemma":[0.000146947,0.00003250713,0.0001762191,0.00003726214,0.000003329965,0.00003706279,0.9990059,0.0001490628,0.0004117558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8403304,"threshold_uncertainty_score":0.5341482,"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."}}