{"id":"W6943348421","doi":"10.15468/dl.pyp764","title":"Occurrence Download","year":2025,"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); 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":[0.001007515,0.001970002,0.001560506,0.005200332,0.0009364898,0.002561986,0.002778929,0.001914253,0.1572343],"category_scores_gemma":[0.006036411,0.0008986849,0.001184021,0.01010558,0.0004405851,0.002272684,0.002621806,0.001859465,0.2196058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620401,"about_ca_system_score_gemma":0.002296706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02239134,"about_ca_topic_score_gemma":0.03614691,"domain_scores_codex":[0.9989078,0.0001494669,0.0001449433,0.0003698985,0.0002433505,0.0001845595],"domain_scores_gemma":[0.9975394,0.0006308894,0.0002449484,0.0006754157,0.0006181918,0.0002911179],"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":[0.00003081077,0.00001029766,0.0003429641,0.0005405375,0.00001560744,0.00001403195,0.00002148743,0.0001164631,0.0001116587,0.0003808937,0.9969943,0.001420954],"study_design_scores_gemma":[0.00006849463,0.000007303773,0.001739007,0.0001770244,0.00001390252,0.00003332986,0.00005968177,0.0001232813,0.0001815454,0.000769648,0.9968107,0.00001608447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003689579,0.00002619247,0.00003852974,0.00003195587,0.000009639824,0.000004909474,0.9988797,0.0003497839,0.0006222939],"genre_scores_gemma":[0.0001555828,0.00003268295,0.0001666818,0.00004597874,0.000003168829,0.00003641873,0.998985,0.0001385752,0.0004357997],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8427657,"threshold_uncertainty_score":0.526001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}