{"id":"W6905845486","doi":"10.15468/dl.q3uw9r","title":"Occurrence Download","year":2023,"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); Real world data; 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":[0.0009010075,0.001967904,0.001557951,0.004986018,0.001146886,0.002714414,0.003015372,0.001949882,0.1871274],"category_scores_gemma":[0.006138592,0.0009718196,0.001164496,0.0103134,0.0004502933,0.002449001,0.002640554,0.002145926,0.259653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002060084,"about_ca_system_score_gemma":0.002974791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04306612,"about_ca_topic_score_gemma":0.07460279,"domain_scores_codex":[0.9989826,0.0001209712,0.0001077716,0.0003517815,0.0002651065,0.0001717928],"domain_scores_gemma":[0.9974434,0.000632178,0.0001902442,0.0006727899,0.0007730299,0.0002883139],"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":[0.00001932683,0.000008078026,0.0002667521,0.0003319948,0.00001015799,0.00001076204,0.00001951095,0.00008387319,0.00007981109,0.0003086572,0.9976255,0.001235515],"study_design_scores_gemma":[0.00005058562,0.000005037771,0.001377789,0.0001435648,0.00001049329,0.00002794991,0.00006781548,0.0001313151,0.0001652402,0.0006629811,0.9973415,0.00001577736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003611009,0.0000240026,0.00005346012,0.00003731534,0.00001197067,0.000005223837,0.9984276,0.000544443,0.000859934],"genre_scores_gemma":[0.000159661,0.00003253873,0.0002406292,0.0000435816,0.000003446147,0.00004211154,0.9985809,0.0002493313,0.000647828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8128726,"threshold_uncertainty_score":0.6260034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}