{"id":"W6962619240","doi":"10.15468/dl.xc8amg","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; Alien; Range (aeronautics)","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":[0.0009228697,0.002021499,0.001496011,0.004925955,0.0009557373,0.002416084,0.002602268,0.001875939,0.1647834],"category_scores_gemma":[0.005890549,0.0009110569,0.001181483,0.01003578,0.0004448222,0.002157944,0.00253791,0.001785306,0.2199201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451501,"about_ca_system_score_gemma":0.002293241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060176,"about_ca_topic_score_gemma":0.03320685,"domain_scores_codex":[0.9989986,0.0001337188,0.0001303649,0.0003580421,0.0002074243,0.0001718096],"domain_scores_gemma":[0.997604,0.0006794055,0.0002303235,0.0006124588,0.0005967759,0.0002771034],"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":[0.00003247687,0.00001149865,0.0003995779,0.0005320415,0.00001376405,0.00001440514,0.00002186252,0.0001260953,0.0001228738,0.0003602861,0.9969042,0.001460972],"study_design_scores_gemma":[0.00007873106,0.00001033779,0.001956907,0.0001861116,0.0000146518,0.00003661435,0.0000700519,0.0001469628,0.0001944048,0.0007715456,0.9965153,0.00001827777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004595769,0.00002465925,0.00003935734,0.00003188409,0.00001212647,0.000004953519,0.9988599,0.0003522695,0.0006288888],"genre_scores_gemma":[0.00015949,0.00003224902,0.0001864032,0.00004390101,0.000003517697,0.00004039575,0.9989183,0.0001450756,0.0004707651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8352166,"threshold_uncertainty_score":0.5512553,"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."}}