{"id":"W6906140664","doi":"10.15468/dl.ud4p66","title":"Occurrence Download","year":2024,"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); The Internet","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":[0.001051783,0.001955523,0.001585312,0.005763222,0.0009800292,0.002589648,0.002813105,0.001880079,0.2099219],"category_scores_gemma":[0.006492568,0.0009624872,0.001195007,0.01068311,0.0004217029,0.002521881,0.003046618,0.001988996,0.2913276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576677,"about_ca_system_score_gemma":0.002577316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02496795,"about_ca_topic_score_gemma":0.04448256,"domain_scores_codex":[0.9988569,0.000145751,0.000143698,0.0003846267,0.0002728162,0.0001962321],"domain_scores_gemma":[0.9970982,0.0007345444,0.0002599255,0.0007435851,0.0008055912,0.0003582407],"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":[0.00002357783,0.000007496947,0.000262609,0.0004509114,0.00001141594,0.00001066267,0.00001943585,0.00007240084,0.00009436467,0.0003058594,0.9974752,0.00126613],"study_design_scores_gemma":[0.00005314187,0.000005824534,0.001486937,0.0001629578,0.00001162007,0.00002611244,0.00005740348,0.00008363204,0.0001539429,0.0006422417,0.997301,0.0000150636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002906387,0.00001993886,0.00004050074,0.00002838552,0.00001014329,0.000004931855,0.9987828,0.0003679462,0.0007162799],"genre_scores_gemma":[0.0001251485,0.00003130232,0.0001833132,0.0000429395,0.000003498154,0.00004117101,0.9987993,0.0001886519,0.0005845107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7900782,"threshold_uncertainty_score":0.7022586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}