{"id":"W6924414502","doi":"10.15468/dl.mthpy4","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); Confidentiality","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":[0.001011429,0.001969428,0.001689293,0.005952009,0.001067284,0.002719921,0.002972038,0.002071515,0.1677016],"category_scores_gemma":[0.006618621,0.0009679118,0.001205971,0.01210724,0.0004852707,0.002354928,0.002625737,0.002174072,0.2286692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948439,"about_ca_system_score_gemma":0.002862259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03200853,"about_ca_topic_score_gemma":0.0499289,"domain_scores_codex":[0.9988574,0.0001422831,0.0001465554,0.0003753904,0.0002858036,0.0001926451],"domain_scores_gemma":[0.9972484,0.0007614618,0.0002449517,0.0006948168,0.0007292472,0.0003212909],"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":[0.00002563613,0.00001067184,0.0003485625,0.0004743735,0.00001208184,0.00001503426,0.00002573132,0.0001149331,0.00009852034,0.0003767368,0.9970754,0.001422284],"study_design_scores_gemma":[0.00005944527,0.000006629301,0.001736483,0.0001817052,0.00001258868,0.00003645142,0.00008710483,0.0001539582,0.0001767641,0.0006613035,0.9968712,0.00001638024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003767539,0.000023656,0.00004141342,0.00003650994,0.00001041415,0.000005252753,0.9988011,0.000365583,0.0006783081],"genre_scores_gemma":[0.0001470284,0.00003066547,0.0001893885,0.0000373957,0.000002816883,0.00003883931,0.9988723,0.0001462975,0.0005353558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8322984,"threshold_uncertainty_score":0.5610178,"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."}}