{"id":"W6887147343","doi":"10.15468/dl.t48ytb","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); Alien; Species name; 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":[0.0008954121,0.002008348,0.001503113,0.004824183,0.000959565,0.002410663,0.002616249,0.001919194,0.1634614],"category_scores_gemma":[0.005726968,0.0009049523,0.001194136,0.009928537,0.0004390882,0.002144343,0.002505666,0.001805843,0.2180256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446725,"about_ca_system_score_gemma":0.002273152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02056929,"about_ca_topic_score_gemma":0.03280861,"domain_scores_codex":[0.9990127,0.0001312537,0.0001294423,0.0003532264,0.0002023208,0.0001710277],"domain_scores_gemma":[0.9976616,0.0006661813,0.0002268705,0.0005860177,0.0005951297,0.0002641797],"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":[0.00003402612,0.0000119599,0.0004090641,0.0005766256,0.0000146194,0.00001524162,0.00002259202,0.0001365838,0.0001338199,0.0003692646,0.9967614,0.001514748],"study_design_scores_gemma":[0.00008086181,0.00001070867,0.001962878,0.0001967161,0.00001557785,0.00003693917,0.00007132199,0.0001544997,0.0002026323,0.0007887156,0.9964603,0.00001893109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004459108,0.00002476311,0.00003826198,0.00003106307,0.0000116756,0.000004870551,0.9988945,0.0003368914,0.000613481],"genre_scores_gemma":[0.0001586338,0.00003285494,0.0001870807,0.00004385526,0.000003409878,0.00003995231,0.9989352,0.0001379031,0.0004611634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365386,"threshold_uncertainty_score":0.5468328,"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."}}