{"id":"W6925118405","doi":"10.15468/dl.zhutch","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Linguistic, Cultural, and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange); Confidentiality","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":[0.0009990009,0.001992275,0.001531765,0.005225819,0.001107298,0.002783773,0.002902149,0.002118971,0.1552375],"category_scores_gemma":[0.006908783,0.0008715234,0.00116317,0.01007988,0.0004767901,0.002634133,0.002660844,0.002106646,0.2346588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700634,"about_ca_system_score_gemma":0.002364611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02397275,"about_ca_topic_score_gemma":0.04126968,"domain_scores_codex":[0.9988585,0.00016346,0.0001436875,0.0003891845,0.0002701126,0.0001751153],"domain_scores_gemma":[0.9972059,0.000784013,0.0002399914,0.0007005284,0.0007650265,0.0003045887],"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":[0.0000238797,0.00001006544,0.0003181204,0.0004062829,0.00001062298,0.00001314156,0.00002307174,0.00009879735,0.00007304498,0.000338701,0.9973609,0.001323298],"study_design_scores_gemma":[0.00006002096,0.000007338037,0.001599197,0.0001763751,0.00001132233,0.00003551237,0.00008334278,0.0001692636,0.0001553122,0.0007404676,0.9969453,0.00001656225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004552942,0.00002799609,0.00005237291,0.00004396426,0.00001366788,0.000005673698,0.9986149,0.0004416692,0.0007541725],"genre_scores_gemma":[0.0001677222,0.00003319306,0.000219482,0.00004470591,0.000004098985,0.00004518791,0.9987665,0.0001700022,0.0005490874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8447624,"threshold_uncertainty_score":0.5193213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526856348262079,"score_gpt":0.2566453313995914,"score_spread":0.2313767679169706,"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."}}