{"id":"W6962111385","doi":"10.15468/dl.ywddyd","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); Alien; Range (aeronautics)","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":[0.00103855,0.001989393,0.001588062,0.004922134,0.001023498,0.002610489,0.002907587,0.002191512,0.1582341],"category_scores_gemma":[0.006079458,0.0009239572,0.001254821,0.009435573,0.0004642393,0.002465567,0.002558901,0.002077049,0.225562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161271,"about_ca_system_score_gemma":0.002383409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0217713,"about_ca_topic_score_gemma":0.03636138,"domain_scores_codex":[0.9988884,0.0001606697,0.0001392847,0.0003912132,0.000242239,0.0001781863],"domain_scores_gemma":[0.9973096,0.0007867206,0.000236079,0.0007260283,0.0006472967,0.000294204],"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":[0.00002747691,0.00001138845,0.000329226,0.0004767513,0.00001344541,0.00001390628,0.00002104571,0.0001101156,0.0001013488,0.0003564023,0.9973069,0.001231894],"study_design_scores_gemma":[0.00007307591,0.00000822638,0.001799529,0.0001831698,0.00001365977,0.00003675037,0.00007109315,0.0001448862,0.0001859869,0.0008376133,0.9966276,0.00001826074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003916415,0.00002522507,0.00004357301,0.00003730083,0.00001190754,0.000005427241,0.9988488,0.0003646892,0.0006239814],"genre_scores_gemma":[0.0001535817,0.0000313132,0.0001879744,0.00004674592,0.000003530417,0.00004229744,0.998936,0.0001413757,0.0004571636],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8417659,"threshold_uncertainty_score":0.5293458,"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."}}