{"id":"W6924519999","doi":"10.15468/dl.o41bdq","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); Data collection; Range (aeronautics)","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":[0.001032452,0.001958058,0.001607899,0.005394406,0.0009508255,0.002626775,0.002761609,0.001905865,0.192933],"category_scores_gemma":[0.006426346,0.0009421733,0.001148121,0.01036626,0.0004545223,0.002564136,0.002934087,0.001991935,0.2702118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540787,"about_ca_system_score_gemma":0.002376284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006098,"about_ca_topic_score_gemma":0.03427957,"domain_scores_codex":[0.9989057,0.0001413007,0.0001491299,0.0003800549,0.0002428087,0.0001810945],"domain_scores_gemma":[0.9971327,0.0007592938,0.0002656952,0.0007804204,0.0007272848,0.0003347244],"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":[0.00002729966,0.000009503675,0.0003108565,0.0004960516,0.00001334472,0.00001390155,0.00002326688,0.00009301463,0.0001111299,0.0003859632,0.9971539,0.001361726],"study_design_scores_gemma":[0.00005887162,0.000006592092,0.001499709,0.0001665542,0.00001196847,0.00003296942,0.00006393063,0.0001035356,0.0001789794,0.0007528072,0.9971079,0.00001613468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003254073,0.00002087546,0.0000445222,0.00002941543,0.00001090948,0.000004916894,0.9988089,0.0003938016,0.0006541807],"genre_scores_gemma":[0.0001342242,0.0000299347,0.0001998846,0.00003882056,0.000003437679,0.00003823539,0.9989136,0.000178159,0.000463614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.807067,"threshold_uncertainty_score":0.6454251,"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."}}