{"id":"W6924815988","doi":"10.15468/dl.vsu76r","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.0008720983,0.002116716,0.00163543,0.005273391,0.0008928202,0.002634397,0.002877576,0.001811248,0.1452841],"category_scores_gemma":[0.005736401,0.0009170211,0.001191248,0.01089686,0.000413947,0.002390007,0.002651933,0.001855774,0.2142258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646989,"about_ca_system_score_gemma":0.002525316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02599473,"about_ca_topic_score_gemma":0.04314172,"domain_scores_codex":[0.9989353,0.000134284,0.0001424159,0.0003685798,0.0002424651,0.0001770102],"domain_scores_gemma":[0.9977177,0.0005679488,0.0002520673,0.0005843073,0.000601001,0.0002769649],"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":[0.00002891316,0.000009213585,0.0003961348,0.0004974699,0.00001510738,0.00001362381,0.00002084561,0.0001163519,0.00009940258,0.0004029488,0.9969939,0.001406075],"study_design_scores_gemma":[0.00006215505,0.0000070544,0.001729237,0.000171102,0.00001365723,0.00003448754,0.00005285197,0.0001250323,0.0001678345,0.0007389156,0.996881,0.00001666972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003906821,0.0000301549,0.00003874423,0.00003057237,0.00001073679,0.000004149576,0.9988463,0.0003444364,0.0006558247],"genre_scores_gemma":[0.0001433179,0.00003806085,0.0001565857,0.00003893487,0.000003173394,0.00003186059,0.9989387,0.0001340135,0.0005152216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8547159,"threshold_uncertainty_score":0.4860238,"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."}}