{"id":"W6887234897","doi":"10.15468/dl.wq8bte","title":"Occurrence Download","year":2022,"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":[0.0009425033,0.001945575,0.00155868,0.004873574,0.001071222,0.00289573,0.002908932,0.001996547,0.1890247],"category_scores_gemma":[0.00655562,0.0009606009,0.001189921,0.009699321,0.0004385223,0.002571829,0.002803745,0.002111725,0.2618991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623792,"about_ca_system_score_gemma":0.002427842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058,"about_ca_topic_score_gemma":0.03404066,"domain_scores_codex":[0.9989723,0.0001296526,0.0001300009,0.000366,0.0002342724,0.0001677561],"domain_scores_gemma":[0.9976185,0.0006786525,0.0002044463,0.0006281818,0.000601163,0.0002689942],"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":[0.00002466437,0.000009401351,0.0003086796,0.0004864455,0.00001223919,0.00001336873,0.00002160871,0.0000948519,0.00009564234,0.0003675385,0.9971548,0.001410651],"study_design_scores_gemma":[0.00005509319,0.000006337206,0.001367339,0.0001782655,0.00001248954,0.00003399914,0.00006576609,0.0001326655,0.0001722141,0.0007453923,0.9972152,0.00001529667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003562449,0.00002818538,0.00005244623,0.00004045949,0.00001310558,0.00000543623,0.9985824,0.0004787726,0.000763644],"genre_scores_gemma":[0.0001549995,0.00003892716,0.0002188337,0.00005155968,0.000003801687,0.00004538905,0.998677,0.0002033888,0.0006060676],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8109753,"threshold_uncertainty_score":0.6323506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}