{"id":"W6906000815","doi":"10.15468/dl.rymw5t","title":"Occurrence Download","year":2019,"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; Herbarium; Matching (statistics); Range (aeronautics); Metadata","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":[0.0009614203,0.001823497,0.001515854,0.005577026,0.0008877128,0.002399999,0.00258265,0.001881005,0.1496003],"category_scores_gemma":[0.006125094,0.0008145583,0.001103181,0.01052671,0.0004107377,0.002189829,0.002548389,0.001795212,0.2008527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525389,"about_ca_system_score_gemma":0.00223777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01878431,"about_ca_topic_score_gemma":0.03200703,"domain_scores_codex":[0.998911,0.0001440392,0.000156419,0.0003657531,0.0002392483,0.0001834631],"domain_scores_gemma":[0.997387,0.0007215269,0.0002737312,0.0006723612,0.0006397637,0.0003055822],"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":[0.00003608723,0.00001144065,0.0004486948,0.0006632118,0.00001762087,0.00001783239,0.00002368887,0.0001340269,0.0001438675,0.0004020586,0.9964909,0.001610608],"study_design_scores_gemma":[0.00007862944,0.000009866099,0.002213466,0.0002232073,0.0000157252,0.0000406713,0.00007199846,0.0001462359,0.0002011503,0.0007391161,0.9962423,0.00001766398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004208615,0.00002745433,0.00003559818,0.00003083755,0.0000105982,0.000004941924,0.999011,0.0003054266,0.0005319148],"genre_scores_gemma":[0.0001658803,0.00003552571,0.0001670449,0.00004036535,0.00000343871,0.00003593985,0.9990485,0.0001096202,0.000393606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8503997,"threshold_uncertainty_score":0.5004628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}