{"id":"W6887299889","doi":"10.15468/dl.ynf6qq","title":"Occurrence Download","year":2018,"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; 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":[0.001069826,0.002072448,0.001685635,0.00504579,0.00102911,0.002807174,0.003197755,0.002190012,0.148408],"category_scores_gemma":[0.006784063,0.0009331209,0.001273915,0.009529608,0.0004623589,0.002454914,0.002886073,0.002248647,0.224504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596959,"about_ca_system_score_gemma":0.002466383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01903885,"about_ca_topic_score_gemma":0.03101217,"domain_scores_codex":[0.9988763,0.0001473438,0.000142101,0.0003966276,0.0002528925,0.0001847716],"domain_scores_gemma":[0.9973158,0.0007330354,0.0002514104,0.0007574669,0.0006337408,0.0003083881],"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":[0.00002724653,0.00001131373,0.0003765621,0.0004650648,0.00001524245,0.00001501809,0.00002355392,0.0001240884,0.00009812451,0.0003828826,0.9970922,0.001368714],"study_design_scores_gemma":[0.00007463116,0.000008206996,0.00173866,0.0001958645,0.00001497474,0.00004000627,0.00007090007,0.0001824582,0.0001877643,0.0008845908,0.9965843,0.00001754831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004477635,0.00003008597,0.00005330255,0.00004303242,0.00001458517,0.000005803695,0.9986903,0.000488681,0.0006293805],"genre_scores_gemma":[0.0001487362,0.00003175077,0.000203726,0.00004374849,0.000003632948,0.0000418426,0.9989352,0.000160391,0.0004310071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.851592,"threshold_uncertainty_score":0.4964743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}