{"id":"W6925011880","doi":"10.15468/dl.w7e2mx","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; Range (aeronautics); Set (abstract data type)","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":[0.0009085784,0.002051533,0.001619429,0.004926605,0.0009652877,0.002530641,0.002732118,0.001960926,0.1698969],"category_scores_gemma":[0.005499178,0.0009620709,0.001145286,0.009784047,0.0004263388,0.002345048,0.002578327,0.001888238,0.2340174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503232,"about_ca_system_score_gemma":0.00223378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01890859,"about_ca_topic_score_gemma":0.03248379,"domain_scores_codex":[0.99897,0.0001386353,0.000131939,0.0003680997,0.0002181272,0.0001731625],"domain_scores_gemma":[0.9976372,0.0006294343,0.0002291563,0.000617539,0.0006110308,0.0002756511],"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":[0.00003304366,0.00001177894,0.0003532509,0.0005445162,0.0000140238,0.00001359339,0.00002035383,0.0001125498,0.0001312074,0.0003752376,0.9969812,0.001409284],"study_design_scores_gemma":[0.00007221942,0.000008935936,0.001737342,0.0001759755,0.00001388848,0.00003365139,0.00005620679,0.0001229076,0.0001903887,0.0007267522,0.9968441,0.00001767887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003942764,0.0000254615,0.00003812685,0.00002971721,0.00001081353,0.000004614315,0.9988746,0.0003320003,0.0006452577],"genre_scores_gemma":[0.0001437412,0.00003253514,0.0001770247,0.00004392987,0.000003371683,0.00003739154,0.9989278,0.0001371473,0.0004969818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8301032,"threshold_uncertainty_score":0.5683616,"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."}}