{"id":"W6961916640","doi":"10.15468/dl.nnwcvw","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); 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":[0.001008177,0.001893374,0.001653928,0.005071308,0.001098562,0.002895078,0.002915667,0.002023624,0.1931323],"category_scores_gemma":[0.006913041,0.0009514458,0.001200203,0.00989626,0.0004532131,0.002507114,0.002708894,0.002080775,0.2581531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641134,"about_ca_system_score_gemma":0.002450332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02366967,"about_ca_topic_score_gemma":0.03772371,"domain_scores_codex":[0.9989863,0.000132481,0.0001233584,0.0003591769,0.0002295339,0.0001691967],"domain_scores_gemma":[0.9974629,0.0007639833,0.0002158293,0.0006303521,0.0006501781,0.0002768384],"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":[0.00002375395,0.000009098377,0.0003190087,0.0005112476,0.00001317864,0.00001421006,0.00002469714,0.00009964182,0.00009446539,0.0003720282,0.9971876,0.001331099],"study_design_scores_gemma":[0.00005822538,0.000006373719,0.001531443,0.000204652,0.00001419195,0.00003400253,0.00007606655,0.0001342975,0.0001672305,0.000813387,0.9969435,0.00001670721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003434161,0.00002739942,0.00005089664,0.00003796393,0.0000121175,0.000005296212,0.9986896,0.000437959,0.000704385],"genre_scores_gemma":[0.0001621283,0.0000387462,0.0002245303,0.00005038222,0.000003705863,0.00004839618,0.9986847,0.0002222336,0.0005651559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8068677,"threshold_uncertainty_score":0.6460918,"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."}}