{"id":"W6886887433","doi":"10.15468/dl.c2sqjg","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); Identification (biology); 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":[0.0009955813,0.002057182,0.001625657,0.005421546,0.0009985375,0.002628773,0.002962253,0.002020396,0.1616228],"category_scores_gemma":[0.005975264,0.0009261845,0.00124758,0.01027068,0.0004458922,0.002282658,0.002718209,0.001955023,0.2318178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642562,"about_ca_system_score_gemma":0.002452802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02193282,"about_ca_topic_score_gemma":0.0366493,"domain_scores_codex":[0.9989072,0.0001508047,0.0001450601,0.000370548,0.0002403343,0.0001860496],"domain_scores_gemma":[0.9974947,0.000658553,0.0002389695,0.0006614408,0.0006514383,0.0002948834],"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":[0.00003375981,0.00001117335,0.0003552132,0.0006049129,0.00001659796,0.00001495255,0.00002285184,0.0001192224,0.0001291459,0.0003912622,0.9968128,0.001488164],"study_design_scores_gemma":[0.0000706932,0.000007522564,0.001594173,0.0001860102,0.00001450278,0.00003272525,0.0000594539,0.0001209697,0.000191449,0.0007562253,0.9969494,0.00001688703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003744927,0.00002705132,0.00003950979,0.00003109867,0.00001032014,0.000005095499,0.9988771,0.0003501704,0.0006221527],"genre_scores_gemma":[0.0001402861,0.00003381743,0.0001735202,0.00004294243,0.0000031448,0.00003832741,0.9990017,0.0001374685,0.0004287538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8383772,"threshold_uncertainty_score":0.540682,"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."}}