{"id":"W6943251437","doi":"10.15468/dl.ll9bf5","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Matching (statistics); Download; Range (aeronautics); 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":[0.000888236,0.001868578,0.001564212,0.005641232,0.001007199,0.003128051,0.002846677,0.001894472,0.1717062],"category_scores_gemma":[0.00600375,0.0008810225,0.001253463,0.01124658,0.000413749,0.002441628,0.002662196,0.002061169,0.2586945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481759,"about_ca_system_score_gemma":0.002471952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01794831,"about_ca_topic_score_gemma":0.0303525,"domain_scores_codex":[0.9989638,0.0001312827,0.0001344044,0.0003681389,0.0002270908,0.0001751459],"domain_scores_gemma":[0.9977062,0.0006242951,0.0002141519,0.0006000313,0.0005901729,0.0002650657],"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":[0.00002459421,0.000008760258,0.0004011228,0.000497294,0.00001455556,0.00001473093,0.00002184561,0.0001067243,0.00009524095,0.0003983646,0.9967831,0.001633557],"study_design_scores_gemma":[0.00005191212,0.000006089721,0.001468538,0.0001677218,0.00001301592,0.00003425934,0.00006644057,0.0001328471,0.0001531996,0.000762386,0.9971289,0.0000148167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004151119,0.00003427979,0.00005364514,0.00004011265,0.00001489987,0.000005088607,0.9985912,0.000439702,0.0007794889],"genre_scores_gemma":[0.0001581202,0.00004264737,0.0001999007,0.00004537551,0.00000439022,0.000038448,0.9987457,0.0001683321,0.0005970346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8282939,"threshold_uncertainty_score":0.5744143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}