{"id":"W6943529322","doi":"10.15468/dl.skw6kx","title":"Occurrence Download","year":2022,"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":[0.001021773,0.00210531,0.001708335,0.005293691,0.001018886,0.002609499,0.002920963,0.002238008,0.1454022],"category_scores_gemma":[0.005806081,0.0009078446,0.001244578,0.01003958,0.0004651439,0.002315521,0.002647555,0.002000684,0.2097443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569216,"about_ca_system_score_gemma":0.002333807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000335,"about_ca_topic_score_gemma":0.03257904,"domain_scores_codex":[0.9988939,0.0001466783,0.0001490188,0.0003809053,0.0002452286,0.0001844031],"domain_scores_gemma":[0.9975898,0.0006804528,0.0002333205,0.0006417761,0.0005789772,0.0002756299],"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":[0.00003627588,0.00001312553,0.0004072402,0.0006956764,0.00001851756,0.00001889999,0.00002579486,0.0001357534,0.0001721774,0.0004030869,0.9965425,0.001530933],"study_design_scores_gemma":[0.00007998219,0.000009754964,0.002079172,0.0002159694,0.00001756361,0.00004416,0.00007114217,0.000146645,0.0002303262,0.0007250048,0.9963605,0.00001987755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004400798,0.000030826,0.00004172496,0.00003259693,0.00001120775,0.000005246113,0.9988971,0.0003657435,0.0005716552],"genre_scores_gemma":[0.0001470387,0.00003270933,0.0001625281,0.0000409032,0.000003067802,0.00003730617,0.9990795,0.0001204699,0.0003764794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8545978,"threshold_uncertainty_score":0.4864189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}