{"id":"W6962288848","doi":"10.15468/dl.vs8kqa","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); 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":[0.0008599681,0.001793251,0.001433849,0.005033982,0.0009842578,0.002665553,0.002659114,0.0018553,0.1644951],"category_scores_gemma":[0.006100007,0.0008600631,0.001243052,0.01013808,0.0003935178,0.002507904,0.002542737,0.001980623,0.2355372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502441,"about_ca_system_score_gemma":0.002240433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0190073,"about_ca_topic_score_gemma":0.03204439,"domain_scores_codex":[0.9989784,0.0001392478,0.0001335887,0.0003628244,0.0002224949,0.0001634546],"domain_scores_gemma":[0.9977155,0.0006469423,0.0001992986,0.0006109256,0.0005895591,0.0002377438],"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":[0.00002785559,0.00001025734,0.0004185013,0.0005175814,0.00001414722,0.00001532178,0.0000231763,0.0001353063,0.0001044618,0.0003832311,0.9965062,0.001843916],"study_design_scores_gemma":[0.00005333091,0.000007186811,0.001639466,0.0001759384,0.00001307683,0.00003583372,0.00007624336,0.0001676825,0.0001670409,0.0008160976,0.9968318,0.00001612868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004622335,0.00003072032,0.00005782092,0.00004048039,0.0000143346,0.000005375834,0.9985513,0.0004695987,0.0007841788],"genre_scores_gemma":[0.0001812359,0.00004025116,0.0002633405,0.00004672472,0.000004181997,0.00004471598,0.9986297,0.0001729866,0.0006169311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8355049,"threshold_uncertainty_score":0.5502909,"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."}}