{"id":"W6924873296","doi":"10.15468/dl.qga4qo","title":"Occurrence Download","year":2015,"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); Order (exchange); 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":[0.001071287,0.002096499,0.00164827,0.005573187,0.0009472715,0.002721142,0.002998841,0.002002972,0.1407563],"category_scores_gemma":[0.006208851,0.000885991,0.001275789,0.0109162,0.0004341282,0.002312097,0.002757426,0.002005321,0.2144127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678996,"about_ca_system_score_gemma":0.002529855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238436,"about_ca_topic_score_gemma":0.03725385,"domain_scores_codex":[0.9988058,0.0001600037,0.0001619741,0.0004001447,0.0002695739,0.0002025748],"domain_scores_gemma":[0.9974515,0.0006198356,0.0002663556,0.0006999188,0.0006510728,0.000311254],"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":[0.00003269727,0.00001126791,0.0003899192,0.0005336179,0.00001730493,0.00001426569,0.0000216543,0.0001180361,0.0001086849,0.000391862,0.9969343,0.001426461],"study_design_scores_gemma":[0.00007490559,0.000008270203,0.001911303,0.0001928508,0.0000154647,0.00003602574,0.00005975305,0.000137372,0.0001846105,0.000779463,0.996583,0.00001690707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004186067,0.00003018448,0.00004045757,0.00003225722,0.00001057018,0.000005307157,0.998852,0.0003635541,0.0006237319],"genre_scores_gemma":[0.0001373839,0.00003250048,0.000155356,0.00003963788,0.000002992582,0.00003328543,0.9990942,0.0001142382,0.0003904029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8592438,"threshold_uncertainty_score":0.4708766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}