{"id":"W6943568124","doi":"10.15468/dl.v6gw4c","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":[0.001029827,0.001977865,0.001666716,0.005482831,0.00100829,0.002669284,0.002759822,0.002035476,0.1670062],"category_scores_gemma":[0.006259409,0.0009395941,0.001162103,0.01061798,0.0004573079,0.002414356,0.0026977,0.00202721,0.2268054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546408,"about_ca_system_score_gemma":0.002329818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02071235,"about_ca_topic_score_gemma":0.03496855,"domain_scores_codex":[0.9989084,0.0001480743,0.0001406517,0.0003758326,0.0002460875,0.0001809507],"domain_scores_gemma":[0.9973271,0.0007477441,0.0002560696,0.0007029385,0.0006447829,0.0003214348],"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":[0.00002840204,0.00001039739,0.0003623402,0.0005413893,0.00001398226,0.00001490151,0.0000239335,0.0001143604,0.0001078754,0.0003795511,0.9970841,0.00131888],"study_design_scores_gemma":[0.00007022385,0.000007440556,0.001754554,0.0001884465,0.00001302587,0.00003538871,0.00007127457,0.0001267612,0.0001668315,0.0007689378,0.9967802,0.00001688018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003840062,0.00002564618,0.00004249394,0.000033253,0.00001109223,0.000005039425,0.998858,0.000352114,0.0006339319],"genre_scores_gemma":[0.0001584337,0.0000339649,0.0001908586,0.00004457489,0.000003524578,0.00004203487,0.9988775,0.0001568337,0.0004922764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8329937,"threshold_uncertainty_score":0.5586915,"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."}}