{"id":"W6962574502","doi":"10.15468/dl.z2k3pb","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Didelphis; Xenarthra; Opossum; Animal ecology","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":["insufficient_payload"],"category_scores_codex":[0.0007559875,0.002568972,0.002136936,0.006954137,0.001385731,0.004038313,0.002827857,0.002653722,0.2998104],"category_scores_gemma":[0.005892046,0.0008790419,0.001695624,0.01055112,0.0004119439,0.003965565,0.003937587,0.00209112,0.4270088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00185414,"about_ca_system_score_gemma":0.002319006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02052738,"about_ca_topic_score_gemma":0.0370007,"domain_scores_codex":[0.9988078,0.0001283931,0.0001678277,0.0004093061,0.0002636554,0.0002229658],"domain_scores_gemma":[0.9978181,0.000486916,0.0001833127,0.0004950633,0.0007085484,0.0003079677],"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":[0.00005266729,0.00001408406,0.0003818027,0.0006611414,0.0000127648,0.00002930202,0.00002427579,0.00008639276,0.0001149707,0.0004325199,0.9949383,0.003251828],"study_design_scores_gemma":[0.00006803084,0.00001332871,0.001408432,0.0002079194,0.00001315941,0.00006311435,0.00008587317,0.0002707132,0.00014438,0.001024964,0.9966804,0.00001959737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008413474,0.00009173383,0.0001110582,0.00009623345,0.00003353671,0.00001304637,0.9954377,0.001731458,0.002401085],"genre_scores_gemma":[0.0002873667,0.0000844391,0.0003769551,0.0001207288,0.0000112797,0.00004458102,0.9973385,0.0003603315,0.001375814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7001896,"threshold_uncertainty_score":0.9987355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}