{"id":"W6962537675","doi":"10.15468/dl.z3j7sn","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); Data set; 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":[0.001081506,0.001956433,0.001652618,0.005268614,0.0009773686,0.002829198,0.003120057,0.002183632,0.1521675],"category_scores_gemma":[0.006945627,0.0009118966,0.001193758,0.01033301,0.0004434671,0.002533206,0.002698924,0.002103235,0.2272238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611046,"about_ca_system_score_gemma":0.002425294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01876647,"about_ca_topic_score_gemma":0.03089549,"domain_scores_codex":[0.9988123,0.0001631858,0.0001602957,0.0004177452,0.00025668,0.0001897932],"domain_scores_gemma":[0.9971617,0.000794568,0.0002772967,0.0007607077,0.0006930191,0.0003126729],"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":[0.00002617144,0.00001063309,0.0003681902,0.0004900757,0.00001528847,0.00001368574,0.00002145225,0.0001197075,0.0000870064,0.0003710896,0.9971502,0.001326591],"study_design_scores_gemma":[0.00006948011,0.000007747751,0.001684428,0.0001995115,0.0000148679,0.00003572091,0.00006700143,0.0001677788,0.0001653389,0.0008389561,0.9967328,0.00001645485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003706875,0.0000287787,0.00004381721,0.00003807395,0.00001209082,0.000004949443,0.9989159,0.0003515766,0.0005678348],"genre_scores_gemma":[0.0001429161,0.00003378745,0.0001762683,0.00004185465,0.000003583247,0.00003759871,0.9990246,0.0001226684,0.0004166564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8478325,"threshold_uncertainty_score":0.509051,"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."}}