{"id":"W6943649400","doi":"10.15468/dl.baev3k","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); Set (abstract data type); Data set","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":[0.001078959,0.001936187,0.001669899,0.004976193,0.001089683,0.002685459,0.003033285,0.002049301,0.1818868],"category_scores_gemma":[0.006502979,0.001026971,0.001186425,0.009824041,0.0004829004,0.002400473,0.002782514,0.002125265,0.2336074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637341,"about_ca_system_score_gemma":0.002518691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132775,"about_ca_topic_score_gemma":0.03532403,"domain_scores_codex":[0.9989355,0.0001385203,0.0001329499,0.0003776267,0.0002397044,0.0001756694],"domain_scores_gemma":[0.9974931,0.0007218507,0.000228861,0.0006604202,0.0006088217,0.000286851],"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":[0.00002697114,0.000009692762,0.0003375699,0.0005133565,0.00001455505,0.00001389765,0.00002550884,0.0001117667,0.0001221929,0.0004143241,0.9970244,0.001385835],"study_design_scores_gemma":[0.00006139128,0.000006433674,0.001500051,0.0001705367,0.00001365813,0.000033633,0.00006635645,0.0001177044,0.0001875226,0.0007701738,0.997056,0.0000166806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003741377,0.00002413165,0.00005163199,0.00003404708,0.00001168069,0.000004892875,0.9987546,0.0004091721,0.0006724355],"genre_scores_gemma":[0.0001608112,0.00003223353,0.0002254389,0.00004397905,0.000003226969,0.00004429073,0.9987738,0.0002046671,0.0005116806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8181131,"threshold_uncertainty_score":0.6084721,"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."}}