{"id":"W6905986533","doi":"10.15468/dl.xd7hyf","title":"Occurrence Download","year":2016,"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":[0.0009914109,0.002044964,0.001656266,0.00536484,0.0009486646,0.002665955,0.002872352,0.002004805,0.1377663],"category_scores_gemma":[0.005978777,0.0009079709,0.001216409,0.01081307,0.000438234,0.002446922,0.00278214,0.00205823,0.2078264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629182,"about_ca_system_score_gemma":0.002510791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02356376,"about_ca_topic_score_gemma":0.04037202,"domain_scores_codex":[0.9988582,0.000151562,0.0001510521,0.0003928238,0.0002602571,0.000185961],"domain_scores_gemma":[0.9974684,0.0006586957,0.0002598987,0.0006865911,0.000620077,0.0003063763],"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":[0.00002777263,0.00001090424,0.0004345303,0.0005246902,0.000016177,0.00001569393,0.00002597746,0.0001290382,0.0001065735,0.0004186778,0.9969021,0.001387814],"study_design_scores_gemma":[0.00006364131,0.000007361692,0.001876626,0.0001898571,0.00001413927,0.00003909461,0.00007215178,0.0001506259,0.0001743679,0.0007856872,0.9966096,0.00001700474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004518474,0.00002985558,0.00004654043,0.00003471213,0.00001213606,0.000004725397,0.9988306,0.0003876138,0.0006086429],"genre_scores_gemma":[0.0001489741,0.00003406367,0.000174358,0.00003749242,0.000003070959,0.00003325955,0.9990039,0.0001299061,0.0004349126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8622336,"threshold_uncertainty_score":0.4608743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}