{"id":"W2953339654","doi":"","title":"There's a moose loose somewhere near that spruce","year":2013,"lang":"en","type":"article","venue":"The New Scientist","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radar; Vegetation (pathology); Track (disk drive); Radar systems; Remote sensing; Warning system; Geography; Environmental science; Computer science; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0003100767,0.000480898,0.0003515889,0.0006929104,0.005676469,0.001960376,0.0004875856,0.0008075163,0.0202975],"category_scores_gemma":[0.0005942038,0.0002393181,0.0004251816,0.0007346565,0.001320875,0.001266078,0.001187889,0.001391359,0.005501591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013516,"about_ca_system_score_gemma":0.001393254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1347353,"about_ca_topic_score_gemma":0.3690208,"domain_scores_codex":[0.9997414,0.0000136827,0.000006162984,0.00006853653,0.0001091142,0.00006103502],"domain_scores_gemma":[0.9995691,0.00002404187,0.00003129064,0.00002989378,0.000203414,0.000142144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006835642,0.000390766,0.2481827,0.0003970961,0.0002831349,0.005420194,0.01143635,0.0007660938,0.05105479,0.007158027,0.2125369,0.4616905],"study_design_scores_gemma":[0.00003027591,0.0003903018,0.1958778,0.0004744239,0.0001902021,0.004205773,0.0418239,0.0007745588,0.007884675,0.004806219,0.7433813,0.0001605184],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6578647,0.005361189,0.01789159,0.02750938,0.00316767,0.0001464078,0.003605283,0.003956519,0.2804973],"genre_scores_gemma":[0.6916061,0.003052407,0.02120265,0.01209876,0.0002811369,0.00003666442,0.002533086,0.0006698485,0.2685193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1347353,"threshold_uncertainty_score":0.2679022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675087068290796,"score_gpt":0.210289424529124,"score_spread":0.1935385538462161,"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."}}