{"id":"W6943511729","doi":"10.15468/dl.v8yh4d","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); Information system; Population","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":[0.0010385,0.002053444,0.001722811,0.005971032,0.00106078,0.002665977,0.002881788,0.002072725,0.165005],"category_scores_gemma":[0.00607819,0.0009661788,0.0012417,0.01124107,0.0004613006,0.002485255,0.00279083,0.002072915,0.2418368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660529,"about_ca_system_score_gemma":0.002424692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213836,"about_ca_topic_score_gemma":0.03803262,"domain_scores_codex":[0.9988116,0.0001582694,0.0001517354,0.0004173228,0.0002635752,0.0001975032],"domain_scores_gemma":[0.9972172,0.0007351885,0.000267955,0.0007361068,0.0007202264,0.0003232687],"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":[0.0000271528,0.00001058208,0.0003522997,0.000575917,0.00001568256,0.0000139936,0.00002355353,0.0001111152,0.0001172564,0.000386455,0.9969759,0.001390125],"study_design_scores_gemma":[0.00006176135,0.000007706438,0.001730734,0.0001860748,0.00001465656,0.00003373747,0.00006801054,0.0001160745,0.0001617017,0.0006781139,0.9969247,0.00001676333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003586858,0.00002799838,0.00004122837,0.00003081476,0.00001183919,0.000004796636,0.9989136,0.0003271347,0.0006066994],"genre_scores_gemma":[0.0001279517,0.00003417146,0.0001781262,0.00003790763,0.000003183963,0.00003617038,0.9989963,0.0001346127,0.0004515736],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.834995,"threshold_uncertainty_score":0.5519966,"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."}}