{"id":"W6887291157","doi":"10.15468/dl.vzv5mw","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; Matching (statistics); Range (aeronautics); Data set","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":[0.001032769,0.00180522,0.001610212,0.006451928,0.000999783,0.002638174,0.002653521,0.001758207,0.2001874],"category_scores_gemma":[0.00624512,0.0009120191,0.001106944,0.01231636,0.0004318785,0.002420862,0.002879305,0.00189864,0.2833283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591031,"about_ca_system_score_gemma":0.002600934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.023766,"about_ca_topic_score_gemma":0.04223698,"domain_scores_codex":[0.9987841,0.0001530031,0.0001567352,0.0004089581,0.0002892815,0.0002079272],"domain_scores_gemma":[0.9970707,0.0007177572,0.0002885534,0.0007442637,0.0008215965,0.0003571569],"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":[0.00002463332,0.000007826546,0.0002883248,0.0004659292,0.00001197701,0.00001128481,0.00002163921,0.00007641195,0.0001001245,0.000356737,0.997178,0.001457194],"study_design_scores_gemma":[0.0000433379,0.00000573057,0.001548564,0.000164791,0.00001118697,0.00002662439,0.00006072882,0.00007406838,0.0001448408,0.0006074209,0.9972982,0.00001459662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003063061,0.00002367099,0.00003892569,0.00002822564,0.00001026169,0.00000452646,0.9988098,0.0003163422,0.0007375631],"genre_scores_gemma":[0.000135063,0.0000351847,0.0001878529,0.00004247907,0.000003771527,0.00003694643,0.9987866,0.0001716086,0.0006004555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7998126,"threshold_uncertainty_score":0.6696936,"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."}}