{"id":"W6943034239","doi":"10.15468/dl.g3c6v6","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); Data set; Set (abstract data type)","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":[0.0008919592,0.00202258,0.001581237,0.00497057,0.001097001,0.002669923,0.002975929,0.002240838,0.1772321],"category_scores_gemma":[0.006679955,0.000947036,0.001217741,0.009942392,0.0004648782,0.002554681,0.002663442,0.002017151,0.2269733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001890176,"about_ca_system_score_gemma":0.002564886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03190815,"about_ca_topic_score_gemma":0.05008192,"domain_scores_codex":[0.9989547,0.0001360184,0.0001257682,0.0003466076,0.0002555168,0.0001814197],"domain_scores_gemma":[0.9975247,0.0007069276,0.0002026686,0.0006248949,0.0006735268,0.0002673463],"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":[0.00002534147,0.00001012357,0.0003364803,0.0004407138,0.00001208602,0.00001389269,0.00002094834,0.000117015,0.00008506617,0.0003396573,0.9972618,0.001336962],"study_design_scores_gemma":[0.00006887989,0.00000757703,0.00167906,0.0001962359,0.00001298532,0.0000365386,0.00008395311,0.0001776235,0.000178038,0.0007573813,0.9967846,0.00001723603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000438338,0.00002959933,0.00004861594,0.00004272963,0.00001276732,0.000005488742,0.9986349,0.000475767,0.0007063722],"genre_scores_gemma":[0.0001865927,0.00003592029,0.0002203627,0.0000465449,0.0000036989,0.00004182421,0.9987524,0.0001841368,0.0005286372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8227679,"threshold_uncertainty_score":0.5929004,"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."}}