{"id":"W6887247757","doi":"10.15468/dl.tm4p7n","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); Alien; The Internet","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":[0.001022845,0.00194232,0.001645639,0.005057466,0.001074247,0.002671816,0.002762938,0.002165417,0.1534674],"category_scores_gemma":[0.00635879,0.0008908457,0.001301743,0.0101183,0.0004607736,0.002306429,0.00247941,0.002030982,0.2331875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655526,"about_ca_system_score_gemma":0.002452365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02281572,"about_ca_topic_score_gemma":0.03504428,"domain_scores_codex":[0.99887,0.0001571566,0.0001423122,0.0004042237,0.0002424485,0.0001838564],"domain_scores_gemma":[0.9973357,0.0007987139,0.0002338801,0.0006703132,0.000681124,0.000280187],"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":[0.00003143086,0.00001201494,0.0004113198,0.000579275,0.0000147768,0.00001524217,0.00002245502,0.0001165815,0.0001230955,0.0003351663,0.9968781,0.00146043],"study_design_scores_gemma":[0.00007324616,0.000009605662,0.002111476,0.0002226942,0.00001629229,0.00003762595,0.00008182687,0.0001586714,0.0002019046,0.0007460839,0.9963219,0.00001864687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004160587,0.00002837225,0.00003925876,0.00003646966,0.00001177627,0.000005321341,0.9989253,0.0003404507,0.0005713855],"genre_scores_gemma":[0.0001604293,0.00003583213,0.0001797924,0.00004570913,0.000003681064,0.00004373567,0.9989414,0.0001307902,0.000458743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8465326,"threshold_uncertainty_score":0.5133997,"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."}}