{"id":"W6906066101","doi":"10.15468/dl.zpjtnu","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); Data collection; Range (aeronautics)","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":[0.001009237,0.002172973,0.00165151,0.005104671,0.001086756,0.002686858,0.003311731,0.002285556,0.1492187],"category_scores_gemma":[0.006365437,0.0009848662,0.001268748,0.009785919,0.0004629929,0.002710723,0.002920983,0.002235728,0.2296698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180812,"about_ca_system_score_gemma":0.002457674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02510715,"about_ca_topic_score_gemma":0.04468768,"domain_scores_codex":[0.998832,0.000143966,0.0001399543,0.0003982219,0.0002940923,0.0001917193],"domain_scores_gemma":[0.9974023,0.0006277086,0.0002280563,0.0007315626,0.0007022049,0.0003081825],"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":[0.00002474935,0.00001150561,0.0003488379,0.0003951841,0.00001260193,0.00001434117,0.00002267334,0.0001093594,0.00009873199,0.0003668509,0.9972325,0.001362615],"study_design_scores_gemma":[0.00006443055,0.000007287995,0.001704921,0.0001665701,0.0000119603,0.00004041531,0.00007489673,0.0001704431,0.0001972288,0.0007247812,0.9968196,0.00001738893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005063978,0.00002910309,0.00005922135,0.00004059474,0.00001402503,0.000005549344,0.9984798,0.0005585086,0.0007626133],"genre_scores_gemma":[0.0001454719,0.00002782129,0.0002031138,0.00003494844,0.000003130812,0.0000338358,0.9989468,0.0001607598,0.000444029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8507813,"threshold_uncertainty_score":0.4991864,"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."}}