{"id":"W6887305899","doi":"10.15468/dl.xdjv7j","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Elymus; Matching (statistics); Download; Range (aeronautics); Selection (genetic algorithm)","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":[0.0009372623,0.001981376,0.001583994,0.005408583,0.0009523814,0.002577548,0.002854614,0.001921083,0.1700428],"category_scores_gemma":[0.006001095,0.0009472985,0.00114961,0.01058364,0.0004257174,0.002277353,0.002502603,0.001956582,0.236804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831193,"about_ca_system_score_gemma":0.002459889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141905,"about_ca_topic_score_gemma":0.0342125,"domain_scores_codex":[0.9988636,0.000137973,0.0001536079,0.0003921045,0.0002678397,0.0001850091],"domain_scores_gemma":[0.997502,0.000616561,0.0002443306,0.0006591142,0.0006957913,0.0002822152],"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":[0.00002942341,0.0000107397,0.0003388419,0.0004792249,0.00001174423,0.00001262298,0.00001888428,0.000106736,0.0001035679,0.0003506755,0.9969221,0.001615447],"study_design_scores_gemma":[0.00006122816,0.000008116043,0.001656151,0.0001544502,0.00001205357,0.00003463333,0.00005983531,0.0001417712,0.0001831712,0.0006039102,0.9970686,0.00001602542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003735048,0.00002254705,0.00003869207,0.00003124487,0.00001020251,0.000005171706,0.9988392,0.0003490973,0.0006664835],"genre_scores_gemma":[0.0001474562,0.00003055968,0.0002030077,0.00003616311,0.000003059921,0.0000408954,0.9988155,0.0001340444,0.0005892679],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8299572,"threshold_uncertainty_score":0.5688497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}