{"id":"W4396073816","doi":"10.15468/dl.d4e7t8","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0009060834,0.002013751,0.001540472,0.005338641,0.0009425912,0.002631379,0.002582034,0.001990609,0.1625002],"category_scores_gemma":[0.005863712,0.0009257005,0.001157753,0.0105887,0.0004227764,0.002295475,0.002609414,0.001909938,0.211431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816529,"about_ca_system_score_gemma":0.002563768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02993231,"about_ca_topic_score_gemma":0.04924219,"domain_scores_codex":[0.9989197,0.0001375028,0.000146799,0.0003545505,0.0002541237,0.0001873047],"domain_scores_gemma":[0.9975438,0.0006393787,0.0002460297,0.0005999153,0.0006598157,0.0003110273],"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":[0.0000315813,0.00001052432,0.0003648132,0.000545987,0.00001483957,0.00001399131,0.00002096716,0.0001178937,0.0001049426,0.0003519561,0.9970777,0.001345007],"study_design_scores_gemma":[0.00007614814,0.000007689816,0.001984946,0.0002019096,0.00001373829,0.00003394903,0.00006542405,0.000142758,0.0001732465,0.0006668803,0.9966165,0.00001677987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000353387,0.00002407565,0.00003042252,0.00002899709,0.000009081228,0.000004581407,0.9990149,0.0002906945,0.0005619911],"genre_scores_gemma":[0.0001522532,0.00003381624,0.0001495085,0.00004347072,0.000003282949,0.00003503777,0.9990399,0.0001229908,0.0004196741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8374998,"threshold_uncertainty_score":0.5436172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199344981304852,"score_gpt":0.197932707151188,"score_spread":0.1859392573381395,"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."}}