{"id":"W6924888835","doi":"10.15468/dl.z2y7d2","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009043645,0.00186087,0.001568902,0.004619305,0.001040162,0.002857668,0.002789239,0.00205678,0.1456679],"category_scores_gemma":[0.006205469,0.000841266,0.00139104,0.009352519,0.0004231379,0.002383875,0.00256022,0.001835676,0.2268118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524691,"about_ca_system_score_gemma":0.002379804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02282795,"about_ca_topic_score_gemma":0.03496861,"domain_scores_codex":[0.9989486,0.0001327874,0.000143491,0.0003717594,0.0002236089,0.0001797298],"domain_scores_gemma":[0.9975955,0.0006383812,0.0002006537,0.000651711,0.0006894987,0.0002242963],"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":[0.00003607065,0.00001213327,0.0006001677,0.0006546795,0.00001922226,0.00002036766,0.00003014218,0.0001996892,0.0001323769,0.0004582608,0.9954045,0.002432324],"study_design_scores_gemma":[0.00005957281,0.000008062979,0.001855461,0.0002017299,0.00001437823,0.00003626855,0.00008380906,0.0002211219,0.0001839959,0.0008642757,0.9964532,0.00001810378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004767927,0.00003190228,0.00006217127,0.00003971367,0.00001475658,0.000005543415,0.9985589,0.0005565202,0.0006828356],"genre_scores_gemma":[0.0001860691,0.0000443067,0.0002777651,0.00005047034,0.00000423334,0.00004181211,0.9986842,0.0001796627,0.000531507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8543321,"threshold_uncertainty_score":0.4873076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142161711114755,"score_gpt":0.2000965441751949,"score_spread":0.1858803730637194,"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."}}