{"id":"W6887034046","doi":"10.15468/dl.lxzt7h","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":[0.0009798355,0.002145848,0.00164309,0.005100835,0.0009669031,0.002823019,0.003192944,0.00213264,0.1507241],"category_scores_gemma":[0.006479037,0.0009507766,0.001243165,0.01014033,0.0004544021,0.002694207,0.00283818,0.002092581,0.2356632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786742,"about_ca_system_score_gemma":0.002521843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02469882,"about_ca_topic_score_gemma":0.03979437,"domain_scores_codex":[0.9989015,0.0001392934,0.0001335722,0.0003684231,0.0002777405,0.0001795211],"domain_scores_gemma":[0.9976961,0.0005868736,0.0002066807,0.0006405347,0.0006041895,0.0002655381],"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":[0.00002516293,0.0000106528,0.0003501293,0.0004220618,0.00001352387,0.00001331616,0.00002067418,0.0001186193,0.00008986012,0.000355294,0.9971581,0.001422725],"study_design_scores_gemma":[0.00007067767,0.000007609784,0.001700994,0.0001808294,0.00001319823,0.00004111606,0.00007339034,0.0001969179,0.0001982962,0.000852418,0.9966467,0.00001775948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004606712,0.00003467718,0.00005593265,0.00004428453,0.00001427914,0.000005684558,0.9984274,0.0005945648,0.0007770399],"genre_scores_gemma":[0.0001598492,0.00003631295,0.000211181,0.00004053642,0.000003535138,0.0000370151,0.9988231,0.0001778804,0.0005105375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8492759,"threshold_uncertainty_score":0.5042225,"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."}}