{"id":"W6905724238","doi":"10.15468/dl.pc77hj","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); Column (typography); 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":[0.0009475965,0.001937396,0.001658299,0.005238658,0.0008966411,0.002612062,0.002878723,0.002031876,0.1410637],"category_scores_gemma":[0.005647427,0.0008468686,0.001176018,0.01041501,0.0004212584,0.002308357,0.002531688,0.001946334,0.2014308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482511,"about_ca_system_score_gemma":0.002243932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0186057,"about_ca_topic_score_gemma":0.03141653,"domain_scores_codex":[0.99896,0.0001346774,0.0001367124,0.0003662577,0.0002320889,0.0001702792],"domain_scores_gemma":[0.9977381,0.0005949885,0.0002426797,0.0006007588,0.0005421325,0.0002813053],"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":[0.00003018957,0.00001179915,0.0004581871,0.000563658,0.00001872896,0.00001544116,0.00002302248,0.0001455085,0.0001194373,0.0003939196,0.9966701,0.001550123],"study_design_scores_gemma":[0.00007681278,0.000008536137,0.002175973,0.0002040413,0.00001685608,0.00004214745,0.00006898842,0.0001581037,0.0001897991,0.0007739445,0.9962664,0.00001827882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004522275,0.0000331107,0.00004071668,0.00003285025,0.00001176127,0.000004446772,0.9989047,0.0003316603,0.0005955276],"genre_scores_gemma":[0.0001576395,0.00003410276,0.0001635609,0.00003710154,0.000003331269,0.00003154974,0.9990646,0.00010937,0.000398772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8589363,"threshold_uncertainty_score":0.4719049,"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."}}