{"id":"W6887172172","doi":"10.15468/dl.rvcq6v","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008782742,0.00183826,0.001547662,0.004932246,0.001050566,0.002921588,0.00270473,0.00182938,0.1966886],"category_scores_gemma":[0.005956115,0.0009065463,0.001362711,0.0100227,0.0004118189,0.00258293,0.002781377,0.001883867,0.2809895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438111,"about_ca_system_score_gemma":0.00230945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074804,"about_ca_topic_score_gemma":0.03275924,"domain_scores_codex":[0.9989707,0.000124351,0.0001298727,0.0003670162,0.0002232201,0.000184814],"domain_scores_gemma":[0.9975953,0.0006269834,0.0001974289,0.0006717011,0.0006544439,0.0002542531],"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":[0.00002883596,0.00000942412,0.0004339622,0.0005305622,0.00001486816,0.00001647172,0.00002670853,0.0001240362,0.0001219523,0.0003937427,0.9962314,0.002068016],"study_design_scores_gemma":[0.00004855967,0.000006539009,0.001638818,0.0001583999,0.00001223046,0.00003376379,0.00007583383,0.000154698,0.0001702419,0.0007471636,0.9969379,0.00001584564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004708937,0.00003245712,0.00006726124,0.00004269733,0.00001709416,0.000005961014,0.9982113,0.0006809581,0.0008952994],"genre_scores_gemma":[0.0001964842,0.00004420849,0.0002721133,0.00005302516,0.000004939003,0.00004381604,0.9984626,0.0002575666,0.0006653696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8033113,"threshold_uncertainty_score":0.657989,"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."}}