{"id":"W6943604550","doi":"10.15468/dl.z58dun","title":"Occurrence Download","year":2021,"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); Column (typography)","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":[0.001016684,0.001886049,0.001589939,0.005193909,0.0009106147,0.002543006,0.00276516,0.002020983,0.1559294],"category_scores_gemma":[0.006047424,0.0009192887,0.001094023,0.01068327,0.0004341806,0.002312869,0.002330416,0.002015482,0.2132439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635988,"about_ca_system_score_gemma":0.002313661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02127206,"about_ca_topic_score_gemma":0.03483694,"domain_scores_codex":[0.9989617,0.0001413633,0.0001395239,0.0003515577,0.0002387775,0.0001670714],"domain_scores_gemma":[0.9972675,0.0007607324,0.0002719383,0.0007306493,0.0006620183,0.0003072093],"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":[0.00002785671,0.00001149503,0.0003791673,0.0004865827,0.00001408017,0.00001395542,0.00002191362,0.0001368656,0.00009990238,0.0003956046,0.997068,0.00134468],"study_design_scores_gemma":[0.00006958776,0.000007634689,0.001947703,0.0001670437,0.00001295221,0.00003268678,0.00007034737,0.0001502148,0.0001805766,0.0007564471,0.9965879,0.00001695533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000036571,0.00001980951,0.00003591482,0.00002991772,0.000009395838,0.000004442387,0.9990308,0.0002853605,0.0005476972],"genre_scores_gemma":[0.0001485073,0.00002727275,0.0001731781,0.00003361943,0.000002952145,0.00003603566,0.9989994,0.0001192189,0.0004598401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8440706,"threshold_uncertainty_score":0.5216359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}