{"id":"W6924513697","doi":"10.15468/dl.4zsn2u","title":"Occurrence Download","year":2024,"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; Order (exchange)","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":[0.001004853,0.00197165,0.001643993,0.005910133,0.0009809802,0.002662601,0.002720398,0.001936767,0.1732951],"category_scores_gemma":[0.005917326,0.0009101926,0.001170259,0.01127295,0.0004512564,0.002221441,0.002709884,0.001908998,0.2336367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615811,"about_ca_system_score_gemma":0.002606917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02299863,"about_ca_topic_score_gemma":0.0384126,"domain_scores_codex":[0.998906,0.0001458459,0.0001442331,0.0003606479,0.0002538027,0.0001895355],"domain_scores_gemma":[0.9974059,0.0006909471,0.0002582166,0.000656362,0.0006776178,0.0003108743],"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":[0.00003048201,0.00001013408,0.0003571097,0.0005763115,0.00001594587,0.00001344616,0.00002138699,0.000112035,0.000120291,0.0003719729,0.9968375,0.001533419],"study_design_scores_gemma":[0.00006377272,0.000006945028,0.001668623,0.0001889365,0.00001428079,0.0000313676,0.00005735099,0.0001013615,0.0001680229,0.0006650623,0.9970183,0.0000160434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003461096,0.0000275688,0.00003556546,0.0000300158,0.00001017274,0.000004728179,0.9989261,0.0003013372,0.0006298429],"genre_scores_gemma":[0.0001365172,0.00003581365,0.0001667057,0.00004239463,0.000003355737,0.00003679998,0.9989774,0.0001340134,0.000466986],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8267049,"threshold_uncertainty_score":0.5797299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}