{"id":"W6961912572","doi":"10.15468/dl.kh4avu","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; Set (abstract data type)","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":[0.001103194,0.001965603,0.001750784,0.005512549,0.0009411802,0.002564038,0.002845401,0.002121189,0.1584822],"category_scores_gemma":[0.006685583,0.0009334575,0.001182368,0.0109824,0.0004490555,0.002235249,0.002403806,0.002016238,0.2050505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618513,"about_ca_system_score_gemma":0.002331609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02050615,"about_ca_topic_score_gemma":0.03236615,"domain_scores_codex":[0.9988348,0.0001603634,0.0001643126,0.0003918381,0.0002636352,0.0001850968],"domain_scores_gemma":[0.9970574,0.0008734844,0.0002873263,0.0007476828,0.0007104283,0.0003237358],"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":[0.00003357486,0.0000127139,0.0004174509,0.0006191217,0.00001740491,0.00001574271,0.00002252623,0.0001466268,0.0001237735,0.0003754916,0.9967459,0.001469573],"study_design_scores_gemma":[0.0000901134,0.00000954458,0.002219249,0.0002194264,0.00001707224,0.00003886388,0.00007154792,0.0001639442,0.0001935395,0.0007395875,0.9962183,0.00001899836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003662185,0.00002341841,0.00003332048,0.00002932583,0.000009059462,0.000004695995,0.9991453,0.0002579085,0.0004603353],"genre_scores_gemma":[0.0001461972,0.000029783,0.0001612033,0.00003634981,0.000003150051,0.00004026297,0.999103,0.0001022387,0.0003779357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8415177,"threshold_uncertainty_score":0.5301759,"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."}}