{"id":"W7034163015","doi":"","title":"Snaebjornsdottir and Wilson","year":2010,"lang":"en","type":"other","venue":"Insight (University of Cumbria)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beauty; Population; Ursus maritimus; Polar; Symbol (formal); Government (linguistics)","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":[0.000604376,0.0007588142,0.0005546271,0.002413197,0.001842655,0.005958993,0.0007908104,0.001854601,0.1220775],"category_scores_gemma":[0.001753462,0.0004968958,0.0003359663,0.002715994,0.001262961,0.003509277,0.001659395,0.00180283,0.06597641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002062401,"about_ca_system_score_gemma":0.002649331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01528621,"about_ca_topic_score_gemma":0.03868812,"domain_scores_codex":[0.9993933,0.00007278531,0.00004787017,0.0001397632,0.0002842633,0.00006200262],"domain_scores_gemma":[0.9994566,0.0001355062,0.0000366721,0.000056887,0.0002187444,0.00009561978],"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":[0.00001666421,0.00001599102,0.0001732848,0.0001039839,0.000003439425,0.00006626452,0.0003589861,0.00005174894,0.00008670384,0.02984861,0.8933167,0.07595763],"study_design_scores_gemma":[6.923866e-7,0.000001086063,0.0001028569,0.00007885548,8.248385e-7,0.00002988661,0.00006335822,0.000003980992,0.00001490895,0.0008329795,0.998869,0.000001473612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009773176,0.1209074,0.001029493,0.02009661,0.02294388,0.00003030823,0.001156434,0.0002063664,0.8326522],"genre_scores_gemma":[0.004890167,0.0294761,0.0006862204,0.002297354,0.001552721,0.00001715905,0.0004880108,0.0002206665,0.9603715],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8779225,"threshold_uncertainty_score":0.4083898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005094540674476677,"score_gpt":0.1517883064564922,"score_spread":0.1466937657820155,"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."}}