{"id":"W6924471877","doi":"10.15468/dl.pahs52","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":[0.0008911904,0.002015417,0.00147282,0.004691431,0.0009574143,0.002341621,0.002615964,0.001892816,0.1575798],"category_scores_gemma":[0.005568884,0.000881033,0.00118352,0.009331297,0.0004388228,0.00211346,0.002446372,0.001773996,0.2193652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407859,"about_ca_system_score_gemma":0.002194706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969509,"about_ca_topic_score_gemma":0.03213795,"domain_scores_codex":[0.9990218,0.0001325682,0.0001215062,0.0003548833,0.0002028498,0.0001664922],"domain_scores_gemma":[0.9977767,0.0006225141,0.0002082252,0.0005793959,0.0005549399,0.0002581434],"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":[0.00003215844,0.00001192394,0.0004054441,0.0005018043,0.00001352779,0.00001417592,0.00002048178,0.000131009,0.0001261523,0.0003423782,0.9969109,0.001490052],"study_design_scores_gemma":[0.00007962049,0.00001114867,0.002004417,0.0001823305,0.00001485627,0.00003823579,0.00006968792,0.0001657164,0.0002082605,0.0007978179,0.9964094,0.00001841369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004996728,0.00002681497,0.00004184756,0.00003306414,0.00001282167,0.000005189488,0.9988136,0.0003816989,0.0006350341],"genre_scores_gemma":[0.0001630669,0.00003188469,0.000187691,0.00004409271,0.000003595471,0.00004007981,0.9989226,0.0001401274,0.0004668061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8424202,"threshold_uncertainty_score":0.5271571,"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."}}