{"id":"W6905941676","doi":"10.15468/dl.sp04ou","title":"Occurrence Download","year":2018,"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":[0.001023321,0.002022402,0.001636724,0.00549734,0.0009860839,0.00275951,0.002928398,0.002049034,0.1632507],"category_scores_gemma":[0.006364825,0.0008639671,0.001186724,0.01049987,0.0004403888,0.00238917,0.002776732,0.002034845,0.241553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613783,"about_ca_system_score_gemma":0.002444392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995071,"about_ca_topic_score_gemma":0.03342074,"domain_scores_codex":[0.9988617,0.0001559114,0.0001477915,0.0003797884,0.0002644564,0.000190447],"domain_scores_gemma":[0.9974405,0.0006614023,0.0002491311,0.0006820656,0.0006668218,0.0003001231],"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":[0.0000284564,0.00001043265,0.000328136,0.0005255794,0.00001528106,0.00001352846,0.00002114962,0.0001059407,0.000102056,0.0003693328,0.9970528,0.001427251],"study_design_scores_gemma":[0.00006563855,0.000007472785,0.001633441,0.0001892474,0.00001384751,0.00003375974,0.00005902032,0.0001254934,0.0001712139,0.0007620863,0.9969228,0.00001582858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000370917,0.00003106401,0.00003962386,0.00003621513,0.00001117739,0.000005121982,0.9988303,0.0003582275,0.0006511988],"genre_scores_gemma":[0.0001394676,0.0000353405,0.0001610672,0.00004309274,0.00000357497,0.00003535587,0.9990036,0.0001261101,0.0004525074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8367493,"threshold_uncertainty_score":0.5461279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}