{"id":"W6943456797","doi":"10.15468/dl.r832sf","title":"Occurrence Download","year":2022,"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)","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":[0.001154699,0.001976412,0.001683771,0.005365822,0.001068437,0.002804649,0.003004704,0.002159233,0.1722403],"category_scores_gemma":[0.006779316,0.0009911356,0.001175939,0.01030257,0.000469509,0.002473091,0.002646906,0.002081644,0.2410932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669465,"about_ca_system_score_gemma":0.002515321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02235701,"about_ca_topic_score_gemma":0.03682267,"domain_scores_codex":[0.9987997,0.0001627749,0.0001629054,0.0004151434,0.000267808,0.0001917184],"domain_scores_gemma":[0.9971106,0.0008308425,0.0002736702,0.0007352774,0.000729932,0.000319654],"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":[0.00002690115,0.00001047697,0.0003380668,0.0005151575,0.00001419413,0.00001426803,0.00002331451,0.0001107444,0.0001067671,0.0003881566,0.9971817,0.001270271],"study_design_scores_gemma":[0.00006625125,0.000007071531,0.001617606,0.0001946193,0.00001392804,0.00003491012,0.000071788,0.000130681,0.0001704576,0.0007462949,0.9969289,0.00001752639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003253371,0.00002334424,0.00004308627,0.00003369142,0.00001108793,0.000004648084,0.9989411,0.0003249552,0.0005855035],"genre_scores_gemma":[0.0001367083,0.00003138341,0.0001860916,0.0000420655,0.000003246721,0.00003882147,0.9989678,0.0001451398,0.0004486756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8277596,"threshold_uncertainty_score":0.5762013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}