{"id":"W6962564150","doi":"10.15468/dl.v3rn6d","title":"Occurrence Download","year":2022,"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); Alien; Column (typography)","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":[0.0009866237,0.0019393,0.001557718,0.004764568,0.0009938035,0.002555616,0.002792894,0.002152902,0.1630777],"category_scores_gemma":[0.006267345,0.000911441,0.001260748,0.00882921,0.0004448761,0.002359187,0.00251049,0.002006997,0.2186555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539167,"about_ca_system_score_gemma":0.002260347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02167459,"about_ca_topic_score_gemma":0.03400739,"domain_scores_codex":[0.9990054,0.000138764,0.0001227755,0.0003557732,0.0002135314,0.0001638527],"domain_scores_gemma":[0.9974359,0.0007881247,0.0002168683,0.0006590557,0.0006233646,0.0002766657],"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":[0.00002792152,0.00001230579,0.0004039045,0.0005496817,0.00001440825,0.00001559685,0.00002360039,0.0001302124,0.0001151643,0.0003377382,0.9969168,0.001452595],"study_design_scores_gemma":[0.0000806362,0.00001002596,0.002062585,0.0002262463,0.00001593151,0.000039513,0.0000881053,0.0001968969,0.0001967441,0.0008038114,0.9962602,0.00001936742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004385562,0.0000269498,0.00004516195,0.00004055397,0.00001345614,0.000006102372,0.9988307,0.0004047745,0.0005883467],"genre_scores_gemma":[0.0001728961,0.00003412454,0.000213168,0.00005079917,0.000003876023,0.00004874252,0.9988582,0.0001527908,0.0004653679],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8369223,"threshold_uncertainty_score":0.5455493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}