{"id":"W6962033158","doi":"10.15468/dl.mkfjao","title":"Occurrence Download","year":2019,"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); Identification (biology); Species name","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":[0.0009390925,0.00175356,0.001470041,0.004946387,0.0009326644,0.00239711,0.002726902,0.001950773,0.1452568],"category_scores_gemma":[0.005536771,0.0008497807,0.00111706,0.0103978,0.0004449607,0.002187333,0.002446337,0.001929995,0.1889598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634403,"about_ca_system_score_gemma":0.002293805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02229172,"about_ca_topic_score_gemma":0.03532901,"domain_scores_codex":[0.9990489,0.0001285881,0.0001288952,0.0003271428,0.00020724,0.0001592718],"domain_scores_gemma":[0.997835,0.0005995671,0.0002233347,0.0005661125,0.0005315974,0.0002443175],"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":[0.00002953804,0.00001145879,0.0004507032,0.0005598814,0.00001684992,0.00001550299,0.00002604355,0.0001591732,0.0001277723,0.0004513772,0.9965878,0.001563981],"study_design_scores_gemma":[0.0000675359,0.000007881087,0.002029503,0.000194354,0.00001485722,0.00003648539,0.00007659537,0.0001608232,0.0001863642,0.0007607777,0.9964479,0.00001689427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000447295,0.00002774321,0.00004161673,0.00003512792,0.00001207605,0.000004579183,0.9989241,0.0003206277,0.000589475],"genre_scores_gemma":[0.0001800827,0.00003494331,0.0001846496,0.00004206566,0.000003286139,0.00003714715,0.9989535,0.0001273571,0.0004369482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8547432,"threshold_uncertainty_score":0.4859323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}