{"id":"W6924695137","doi":"10.15468/dl.qrc3kj","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); The Internet; Information system","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":[0.0009770623,0.002036685,0.00174442,0.005549491,0.0009394711,0.002503873,0.002775305,0.001948117,0.1641819],"category_scores_gemma":[0.005720249,0.0009484446,0.001176387,0.01056501,0.0004386397,0.002377559,0.002658201,0.002029999,0.2404484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546961,"about_ca_system_score_gemma":0.00226237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01942253,"about_ca_topic_score_gemma":0.03506934,"domain_scores_codex":[0.9989317,0.0001377349,0.0001367809,0.0003711682,0.0002464289,0.0001761279],"domain_scores_gemma":[0.9973989,0.0006501971,0.0002483327,0.0007166219,0.0006683414,0.0003175811],"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":[0.0000278099,0.00001100729,0.0003630513,0.0005152077,0.00001537869,0.00001343713,0.00002219606,0.000123671,0.0001305187,0.0003677417,0.9969108,0.001499181],"study_design_scores_gemma":[0.00006385262,0.000007810419,0.0018412,0.0001650242,0.00001404025,0.00003237156,0.00006572565,0.0001339588,0.0001921845,0.0006872448,0.9967797,0.00001685166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003735696,0.00002302394,0.00004134641,0.00002781264,0.00001035802,0.000004740464,0.9989582,0.0003265947,0.0005705954],"genre_scores_gemma":[0.0001319336,0.00002735412,0.0001824574,0.00003170919,0.000002961144,0.00003459514,0.9990086,0.0001290651,0.0004514095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8358181,"threshold_uncertainty_score":0.5492432,"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."}}