{"id":"W6906151079","doi":"10.15468/dl.szzvdk","title":"Occurrence Download","year":2018,"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); Data set","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":[0.001006915,0.00207652,0.001566617,0.00528588,0.00103527,0.002660166,0.003034163,0.002171345,0.1369653],"category_scores_gemma":[0.006101302,0.0008294678,0.001221822,0.009575308,0.0004424107,0.002401289,0.002720328,0.002122715,0.2087094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613819,"about_ca_system_score_gemma":0.00246737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086039,"about_ca_topic_score_gemma":0.03715188,"domain_scores_codex":[0.9988605,0.0001601273,0.0001440709,0.0003810276,0.0002615506,0.0001926382],"domain_scores_gemma":[0.9973973,0.0006639353,0.0002442028,0.0007332499,0.0006515468,0.000309779],"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":[0.00003092306,0.00001217753,0.0003659537,0.0004616521,0.00001455167,0.00001488182,0.00001994132,0.00011238,0.0001000234,0.000374167,0.9971697,0.001323623],"study_design_scores_gemma":[0.00007364823,0.000008462695,0.001806304,0.0001696029,0.00001380397,0.0000396071,0.00006221227,0.0001543768,0.0001799894,0.000817218,0.9966575,0.00001730682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004759725,0.00003130104,0.00004568608,0.00004162638,0.00001310198,0.000005801656,0.9987004,0.0004336305,0.0006808274],"genre_scores_gemma":[0.0001473645,0.00003039635,0.0001698157,0.00004154352,0.000003622835,0.00003315204,0.9990516,0.0001155961,0.0004068593],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8630347,"threshold_uncertainty_score":0.4581946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}