{"id":"W6924484180","doi":"10.15468/dl.xl4xyr","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; Confidentiality","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":[0.001056439,0.002023312,0.001591748,0.005449737,0.000920664,0.002630612,0.002975513,0.00196552,0.1370711],"category_scores_gemma":[0.006287831,0.0008864229,0.001202658,0.01096159,0.0004373142,0.002466672,0.002601971,0.001995333,0.2047234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672337,"about_ca_system_score_gemma":0.002509865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02354346,"about_ca_topic_score_gemma":0.03669477,"domain_scores_codex":[0.9988662,0.0001539057,0.0001532709,0.00038284,0.0002596409,0.0001843054],"domain_scores_gemma":[0.9973642,0.0006803073,0.0002666444,0.0007174155,0.0006661371,0.0003052103],"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":[0.00002691104,0.00001095313,0.0004074689,0.000453394,0.00001536728,0.00001407271,0.00002181774,0.0001303741,0.00009172892,0.000371267,0.9970566,0.00140008],"study_design_scores_gemma":[0.00006947453,0.000007741236,0.001996259,0.0001917975,0.00001462615,0.00003969707,0.00007078348,0.0001679514,0.0001829469,0.0008067823,0.9964343,0.00001753384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004300662,0.00002910604,0.00004436448,0.0000353079,0.00001230684,0.000004876718,0.9988534,0.0003743071,0.0006032709],"genre_scores_gemma":[0.0001423286,0.00003135767,0.0001551867,0.00003545508,0.000003142439,0.00003131542,0.9990867,0.0001167322,0.0003976893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8629289,"threshold_uncertainty_score":0.4585486,"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."}}