{"id":"W6943898276","doi":"10.15468/dl.tmuubk","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":"Matching (statistics); Download; Range (aeronautics); State (computer science); Identification (biology)","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":[0.0008754377,0.002046508,0.001523576,0.004918458,0.0009538158,0.002397798,0.002748564,0.001922022,0.1530545],"category_scores_gemma":[0.005306428,0.0009090932,0.001161925,0.009590714,0.0004446783,0.002222346,0.002524993,0.001915902,0.2083044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464177,"about_ca_system_score_gemma":0.002170776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030429,"about_ca_topic_score_gemma":0.03415191,"domain_scores_codex":[0.9990261,0.0001306372,0.0001219647,0.0003490089,0.000206336,0.0001659845],"domain_scores_gemma":[0.9978203,0.0005926743,0.0002140157,0.0005653766,0.0005490858,0.0002586643],"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":[0.00003240878,0.00001170033,0.0004030475,0.0005595902,0.00001506524,0.00001523229,0.00002341851,0.0001368512,0.0001308717,0.000394027,0.9967502,0.001527599],"study_design_scores_gemma":[0.0000717837,0.000008982992,0.00182363,0.0001770588,0.000013936,0.00003806543,0.00006702964,0.0001439141,0.000186383,0.0007864144,0.9966647,0.00001810877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004704534,0.00002801901,0.00004257795,0.0000319045,0.00001262229,0.000004749141,0.9988132,0.0003604922,0.0006593763],"genre_scores_gemma":[0.0001568342,0.0000334852,0.0001957873,0.00004415963,0.000003383659,0.00003791921,0.998924,0.0001443839,0.0004600971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8469455,"threshold_uncertainty_score":0.5120182,"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."}}