{"id":"W6887118622","doi":"10.15468/dl.r0eabg","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); Order (exchange)","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":[0.001037448,0.001866437,0.001605824,0.006268966,0.0009785622,0.002675757,0.00278712,0.001846137,0.1888617],"category_scores_gemma":[0.006511881,0.0008856729,0.00110744,0.01191721,0.0004280197,0.002463824,0.002940546,0.001996596,0.2578375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526388,"about_ca_system_score_gemma":0.002554556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028404,"about_ca_topic_score_gemma":0.03685153,"domain_scores_codex":[0.9988348,0.0001521023,0.0001492683,0.0003894217,0.0002766395,0.0001978059],"domain_scores_gemma":[0.9971938,0.0007059852,0.0002769525,0.0007157248,0.0007588814,0.0003485758],"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":[0.00002432232,0.000008301669,0.0003159718,0.00048536,0.00001297492,0.00001202812,0.0000216283,0.00008275778,0.00009100994,0.000365608,0.9971534,0.00142673],"study_design_scores_gemma":[0.00005043438,0.000006096182,0.001545622,0.0001737929,0.00001189721,0.00002907932,0.00006071758,0.00008520073,0.0001416266,0.0006587218,0.9972221,0.00001463645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003318683,0.00002684301,0.00004140923,0.00003178349,0.00001113836,0.000004963142,0.9988077,0.000338172,0.000704812],"genre_scores_gemma":[0.0001397773,0.00003603298,0.0001897569,0.00004311193,0.000003872104,0.00003944825,0.9988462,0.0001614994,0.0005402479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8111383,"threshold_uncertainty_score":0.6318054,"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."}}