{"id":"W6887123090","doi":"10.15468/dl.rpizdb","title":"Occurrence Download","year":2016,"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":[0.001058899,0.001912777,0.001562218,0.005583,0.0009260821,0.00260262,0.002810006,0.001894967,0.175706],"category_scores_gemma":[0.006422042,0.0008935466,0.001146941,0.01071265,0.0004115492,0.002570204,0.002943311,0.002041381,0.261311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618206,"about_ca_system_score_gemma":0.002582337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999911,"about_ca_topic_score_gemma":0.0359642,"domain_scores_codex":[0.9988244,0.0001489993,0.00014844,0.0003969482,0.0002821017,0.0001990993],"domain_scores_gemma":[0.9971133,0.0006783784,0.0002824872,0.0007699397,0.0007898184,0.0003659682],"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":[0.00002620138,0.000008996172,0.0003104192,0.0004547272,0.00001255706,0.00001136174,0.00001991044,0.0000861989,0.0001048394,0.0003659753,0.9971852,0.001413746],"study_design_scores_gemma":[0.00005417545,0.000006457549,0.001569696,0.0001717053,0.00001116828,0.00002752247,0.00005353024,0.00009871027,0.000163474,0.0007089022,0.9971198,0.0000148991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003397312,0.00002546455,0.00004378607,0.00003384555,0.00001175474,0.000005413161,0.9987144,0.0003826999,0.0007486725],"genre_scores_gemma":[0.0001389486,0.0000341923,0.0001919904,0.00004455444,0.000003716839,0.00003764637,0.9988421,0.0001592511,0.000547718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.824294,"threshold_uncertainty_score":0.5877951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}