{"id":"W6962146663","doi":"10.15468/dl.xep0sx","title":"Occurrence Download","year":2016,"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); Column (typography); Confidentiality","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":[0.0009876841,0.00198967,0.001695319,0.005370874,0.0009381527,0.002604045,0.002959133,0.002113162,0.1364527],"category_scores_gemma":[0.00588948,0.0008597571,0.001195689,0.01060521,0.0004333026,0.002360116,0.002623029,0.00201931,0.1984262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501952,"about_ca_system_score_gemma":0.002316335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01755462,"about_ca_topic_score_gemma":0.03036412,"domain_scores_codex":[0.9989094,0.0001430155,0.0001456954,0.0003812507,0.0002435738,0.0001771034],"domain_scores_gemma":[0.9976633,0.0006127359,0.0002510683,0.0006236155,0.0005586745,0.0002906846],"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":[0.00003294963,0.00001299084,0.0004662183,0.0005959526,0.00001875162,0.00001650325,0.0000242677,0.0001445758,0.0001294548,0.0003940669,0.9965664,0.001597882],"study_design_scores_gemma":[0.0000809432,0.000008955586,0.002152266,0.0002077566,0.00001682317,0.00004286212,0.00007184512,0.0001599689,0.0001974851,0.000789543,0.9962531,0.00001840566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004817489,0.00003339817,0.00004254019,0.00003424945,0.00001203033,0.000004927922,0.998869,0.0003467215,0.0006090246],"genre_scores_gemma":[0.0001571943,0.00003399796,0.0001719498,0.00003771199,0.000003315829,0.00003473685,0.9990585,0.0001095511,0.0003929607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8635473,"threshold_uncertainty_score":0.4564797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}