{"id":"W6887042930","doi":"10.15468/dl.mkdqd9","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":"Download; Matching (statistics); Range (aeronautics); State (computer science); 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":[0.001003058,0.002064315,0.001574648,0.004926438,0.001056189,0.002466493,0.002994834,0.002183507,0.1482784],"category_scores_gemma":[0.005658797,0.0009240796,0.001200455,0.009518218,0.0004824026,0.00235665,0.002607523,0.002109299,0.2088338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609994,"about_ca_system_score_gemma":0.00231847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02199717,"about_ca_topic_score_gemma":0.03821239,"domain_scores_codex":[0.9989668,0.000147,0.0001275864,0.000365775,0.0002232522,0.0001696178],"domain_scores_gemma":[0.9975837,0.0006885887,0.0002178071,0.0006599242,0.000566577,0.0002832813],"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":[0.00002944111,0.00001328292,0.0003718601,0.0005046038,0.00001415193,0.00001598161,0.00002512539,0.0001356412,0.0001224897,0.0003840524,0.9969885,0.001395025],"study_design_scores_gemma":[0.00007534658,0.000008955733,0.001842487,0.0001749558,0.00001364421,0.00004173011,0.00008020135,0.0001714807,0.0001981513,0.0007808805,0.9965937,0.00001845905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005263777,0.00002837178,0.00005131883,0.0000390269,0.00001374272,0.000005813369,0.998722,0.0004207887,0.0006663459],"genre_scores_gemma":[0.0001639414,0.00003000075,0.0002104791,0.00004294581,0.000003294694,0.00004151347,0.9989156,0.0001419014,0.0004503205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8517216,"threshold_uncertainty_score":0.4960406,"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."}}