{"id":"W6905710019","doi":"10.15468/dl.whc2sj","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":[0.0009841532,0.002018691,0.001627043,0.005074172,0.001021016,0.002678314,0.00290266,0.002067775,0.1648466],"category_scores_gemma":[0.005857975,0.0009155382,0.001199135,0.01029515,0.0004560609,0.00229734,0.002638681,0.001914256,0.228775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630362,"about_ca_system_score_gemma":0.002591587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02587431,"about_ca_topic_score_gemma":0.04114302,"domain_scores_codex":[0.9989035,0.0001399873,0.0001387034,0.0003823131,0.0002487381,0.0001866916],"domain_scores_gemma":[0.9976848,0.0006211729,0.0002101105,0.0006202997,0.0005859039,0.0002776179],"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":[0.00003001412,0.000009920757,0.0003489162,0.0005299952,0.00001550432,0.00001493071,0.00002318203,0.0001186549,0.000129717,0.0003914644,0.9970294,0.001358281],"study_design_scores_gemma":[0.00006655964,0.00000736303,0.001755947,0.0001850269,0.00001495462,0.00003563466,0.00006710976,0.0001271232,0.0002019534,0.0006987118,0.9968221,0.00001752629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003714291,0.00002685602,0.00004182302,0.0000308834,0.0000106693,0.00000464512,0.9988621,0.0003689125,0.0006169608],"genre_scores_gemma":[0.0001479983,0.00003109819,0.0001573093,0.00004015105,0.000002892097,0.00003352468,0.9990314,0.0001373785,0.0004182682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8351533,"threshold_uncertainty_score":0.5514669,"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."}}