{"id":"W6943651818","doi":"10.15468/dl.xntt2x","title":"Occurrence Download","year":2022,"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); Set (abstract data type); Range (aeronautics); 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":[0.0006849379,0.002641742,0.00193396,0.006380577,0.001439351,0.00362804,0.002845326,0.002765837,0.2320169],"category_scores_gemma":[0.006385682,0.0009231275,0.001755245,0.01024302,0.0004363922,0.004052902,0.003339221,0.002214696,0.3394111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780835,"about_ca_system_score_gemma":0.00249402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02673373,"about_ca_topic_score_gemma":0.05183151,"domain_scores_codex":[0.9987543,0.0001398804,0.000174128,0.0004238081,0.0002964128,0.0002113556],"domain_scores_gemma":[0.9975854,0.0006146011,0.0001829528,0.0005394366,0.0007788775,0.0002986622],"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":[0.00004730611,0.0000137737,0.0004488775,0.0006742979,0.00001416114,0.00003376453,0.0000277268,0.0001265065,0.0001203852,0.0004466263,0.9947057,0.003340879],"study_design_scores_gemma":[0.00005277662,0.00001176516,0.001257521,0.0001942641,0.00001424605,0.00007704707,0.0001022598,0.0003246307,0.0001732201,0.001089909,0.9966813,0.00002098986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001273708,0.0001545861,0.0001914279,0.0001125818,0.00004750512,0.00001427502,0.9938221,0.002379327,0.00315081],"genre_scores_gemma":[0.000430562,0.0001099188,0.0005844394,0.0001217352,0.00001304287,0.00004231899,0.9967854,0.0004749631,0.001437612],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7679831,"threshold_uncertainty_score":0.7761738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}