{"id":"W7059602492","doi":"","title":"Leftover turkey","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poetry; Nothing; Theme (computing); Fantasy; Section (typography); Reading (process); Consumption (sociology); 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":[],"consensus_categories":[],"category_scores_codex":[0.0003856878,0.0012374,0.0007032717,0.0006641605,0.002956455,0.004033656,0.0007853946,0.001373952,0.159998],"category_scores_gemma":[0.000544806,0.0003342767,0.0004324132,0.001289356,0.0009735261,0.001534775,0.002410475,0.001795771,0.08426521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002916712,"about_ca_system_score_gemma":0.002859182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008198395,"about_ca_topic_score_gemma":0.01539402,"domain_scores_codex":[0.999505,0.00006514877,0.00003033059,0.0001662587,0.0001105834,0.0001226368],"domain_scores_gemma":[0.9997081,0.00002995308,0.00003620032,0.00005235131,0.0001055865,0.00006776734],"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":[0.0006418843,0.0001739879,0.006849151,0.001682321,0.00008214897,0.007287953,0.003054935,0.0005789526,0.004020353,0.120121,0.4974275,0.3580799],"study_design_scores_gemma":[0.0000187983,0.00005578736,0.004612463,0.0001681153,0.00001111375,0.0008669876,0.001040535,0.00007243386,0.0005761237,0.001272754,0.9912914,0.00001363272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03861854,0.01845824,0.00104002,0.007734274,0.008111068,0.0000996092,0.003818558,0.0008506922,0.9212689],"genre_scores_gemma":[0.11104,0.006864259,0.001103279,0.003519221,0.0005083468,0.0001080407,0.002904241,0.0004015161,0.8735509],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.159998,"threshold_uncertainty_score":0.5352465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008816159457014196,"score_gpt":0.1415520095747597,"score_spread":0.1327358501177455,"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."}}