{"id":"W6962405386","doi":"10.15468/dl.utyhsc","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":[0.001029381,0.001920454,0.001612253,0.005425358,0.0009137801,0.002592953,0.002896572,0.001999435,0.1402863],"category_scores_gemma":[0.006101424,0.0008503174,0.001155703,0.01075037,0.0004403426,0.002321137,0.002615878,0.002019331,0.2027372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582156,"about_ca_system_score_gemma":0.002407701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02022449,"about_ca_topic_score_gemma":0.03557547,"domain_scores_codex":[0.9989262,0.0001439653,0.0001458032,0.000358063,0.0002480663,0.0001778975],"domain_scores_gemma":[0.9974914,0.0006498192,0.0002638396,0.0006721466,0.0006272913,0.0002956111],"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":[0.00002817722,0.00001161878,0.0004257933,0.0005338499,0.00001563138,0.00001532821,0.00002320575,0.0001286869,0.0001096277,0.0004011568,0.996908,0.001398993],"study_design_scores_gemma":[0.00006994696,0.00000780484,0.001936191,0.0001928366,0.00001378591,0.00003784401,0.00007007476,0.0001391702,0.0001739953,0.0007596136,0.9965827,0.00001611151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004502859,0.00002986603,0.00004230355,0.000034623,0.0000120152,0.000005155121,0.9988878,0.0003231249,0.0006200901],"genre_scores_gemma":[0.0001497061,0.00003323896,0.0001725863,0.00003664114,0.000003385117,0.0000361665,0.9990245,0.0001120184,0.0004317627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8597137,"threshold_uncertainty_score":0.4693046,"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."}}