{"id":"W6905726639","doi":"10.15468/dl.sn4xg3","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); Feature (linguistics); 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":[0.001143527,0.001967276,0.001638281,0.005236474,0.001073211,0.002740866,0.002900279,0.002097345,0.1548916],"category_scores_gemma":[0.006845897,0.0009491827,0.001168237,0.01014656,0.0004642582,0.002340885,0.002625255,0.002086411,0.2150936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676388,"about_ca_system_score_gemma":0.002553264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02344882,"about_ca_topic_score_gemma":0.03865282,"domain_scores_codex":[0.9988438,0.0001533265,0.000152552,0.0003985894,0.0002687317,0.0001829875],"domain_scores_gemma":[0.9972862,0.0007932819,0.0002551509,0.0006951255,0.000673937,0.0002962536],"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":[0.00002758613,0.00001087725,0.0003879021,0.000542324,0.00001485547,0.00001521933,0.00002519348,0.0001231341,0.0001167915,0.0003987254,0.9969493,0.001388123],"study_design_scores_gemma":[0.000063764,0.000007176885,0.00178253,0.0001940356,0.00001393627,0.00003590688,0.00007196834,0.0001403164,0.0001781548,0.0007173317,0.9967775,0.00001740214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003819621,0.00002591894,0.00004701835,0.00003499746,0.00001155062,0.000004926613,0.9988476,0.0003748387,0.0006148582],"genre_scores_gemma":[0.0001537336,0.0000323779,0.0002046537,0.00004091542,0.000003203823,0.00004166585,0.9989175,0.0001601575,0.0004458286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8451084,"threshold_uncertainty_score":0.518164,"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."}}