{"id":"W6962416494","doi":"10.15468/dl.vjj8yt","title":"Occurrence Download","year":2023,"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; Set (abstract data type)","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":[0.0009167944,0.001737614,0.001397652,0.004547161,0.0008371865,0.002248856,0.00243375,0.001753511,0.1756665],"category_scores_gemma":[0.005293269,0.0008281379,0.001121411,0.00957577,0.0003723802,0.002168238,0.00221366,0.00172713,0.2259159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377158,"about_ca_system_score_gemma":0.00206402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02092944,"about_ca_topic_score_gemma":0.03352232,"domain_scores_codex":[0.9990627,0.0001298713,0.0001220147,0.0003157272,0.0002109206,0.0001587798],"domain_scores_gemma":[0.9977181,0.0006319928,0.0002131762,0.0006026729,0.0005687171,0.0002653417],"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":[0.00002657996,0.00000916694,0.000366885,0.0003935021,0.00001340123,0.00001190731,0.00001825896,0.0001389945,0.00009676629,0.0003294931,0.9971411,0.001454013],"study_design_scores_gemma":[0.00006970295,0.000008481084,0.002075101,0.0001703923,0.00001399476,0.00003297993,0.00006683459,0.0001918043,0.0001996622,0.0008517515,0.996302,0.00001715927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003752519,0.00002094494,0.00004638717,0.00003043831,0.00001068833,0.000004488842,0.9988862,0.0003719018,0.0005914908],"genre_scores_gemma":[0.0001620418,0.00002801536,0.0001810249,0.00004098855,0.000003398898,0.00003378031,0.9989391,0.0001422307,0.0004694469],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8243335,"threshold_uncertainty_score":0.5876629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}