{"id":"W6943266879","doi":"10.15468/dl.lxh7b5","title":"Occurrence Download","year":2015,"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":[0.001047891,0.001928974,0.001631265,0.005724645,0.0009403836,0.00261249,0.002913038,0.001916692,0.152508],"category_scores_gemma":[0.006098527,0.0008874345,0.00120187,0.01121475,0.0004284861,0.002163253,0.002588837,0.00189201,0.2021835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613989,"about_ca_system_score_gemma":0.002518084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02309768,"about_ca_topic_score_gemma":0.03697099,"domain_scores_codex":[0.9988765,0.0001450227,0.0001519382,0.0003736709,0.0002616009,0.000191183],"domain_scores_gemma":[0.9975974,0.0006391223,0.0002443672,0.0006505973,0.0005833883,0.0002850386],"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":[0.00002984764,0.000010718,0.0004107659,0.0005118019,0.0000176093,0.00001472678,0.00002239637,0.0001291091,0.0001177393,0.0004021242,0.9968525,0.001480696],"study_design_scores_gemma":[0.0000703808,0.000007985657,0.002177794,0.0001983756,0.0000168611,0.00003900889,0.00006544164,0.0001480117,0.0002022266,0.0007492079,0.9963068,0.00001808025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004446549,0.00002994539,0.00004545918,0.0000318681,0.00001073046,0.000004995774,0.9988264,0.0003753738,0.0006306632],"genre_scores_gemma":[0.0001494945,0.00003051548,0.0001502066,0.00003570292,0.000002788448,0.00003144343,0.9990948,0.0001163961,0.0003886957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.847492,"threshold_uncertainty_score":0.51019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}