{"id":"W6962438955","doi":"10.15468/dl.zah3r3","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":"Matching (statistics); Download; Range (aeronautics); Field (mathematics); 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":[0.0008722055,0.001993397,0.001555206,0.005012474,0.0009480891,0.00256459,0.002624754,0.00186548,0.1669691],"category_scores_gemma":[0.005536905,0.0009311102,0.0010951,0.01007746,0.0004195299,0.002295106,0.00252256,0.001849358,0.2347247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470766,"about_ca_system_score_gemma":0.002190007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01847692,"about_ca_topic_score_gemma":0.03321757,"domain_scores_codex":[0.9990158,0.000129555,0.0001277547,0.0003506388,0.0002109025,0.0001652824],"domain_scores_gemma":[0.9977185,0.0006082355,0.0002254147,0.0005855901,0.0006039132,0.0002583865],"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":[0.00003234195,0.00001098646,0.0003705548,0.0005488332,0.00001378771,0.00001384658,0.0000213073,0.0001118369,0.0001260229,0.000394564,0.9968666,0.001489291],"study_design_scores_gemma":[0.00006744362,0.000008066885,0.00169247,0.0001720951,0.00001303248,0.00003231641,0.00005690295,0.0001177359,0.0001821391,0.0007805864,0.9968598,0.00001742756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004054099,0.0000259283,0.00003971794,0.00002839994,0.00001064619,0.000004536239,0.9988576,0.0003197444,0.0006728044],"genre_scores_gemma":[0.0001551902,0.00003428107,0.0001914418,0.00004210845,0.000003564366,0.00003970141,0.998859,0.0001452102,0.0005294929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8330309,"threshold_uncertainty_score":0.5585673,"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."}}