{"id":"W7072399240","doi":"","title":"You Can’t Make an Omelette with Only One Egg","year":2010,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Photonic Crystal and Fiber Optics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portrait; Narrative; China; Morality; Focus (optics); Perspective (graphical); Formative assessment; Communism","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000552729,0.0001210307,0.000186348,0.00009271696,0.00008386886,0.00001241741,0.0002676899,0.0001139281,0.0001582474],"category_scores_gemma":[0.000002423841,0.0001462021,0.00004488032,0.0002004448,0.0001106376,0.0001116841,0.0000525449,0.0003042203,0.00001585832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003313477,"about_ca_system_score_gemma":0.00006195413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001879386,"about_ca_topic_score_gemma":0.01256303,"domain_scores_codex":[0.9993699,0.000006556127,0.00007122791,0.0001674012,0.000169702,0.0002152273],"domain_scores_gemma":[0.9994506,0.00001535579,0.00003416188,0.0003050028,0.00004789182,0.000146938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007292153,0.001712435,0.02957315,0.001046884,0.001244058,0.001076076,0.02381384,0.01376701,0.7076167,0.01666939,0.002771357,0.1999799],"study_design_scores_gemma":[0.01138924,0.002291809,0.4027123,0.0002962567,0.0006623995,0.0003375212,0.01207251,0.1208275,0.008940158,0.002125744,0.4345191,0.003825479],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910319,0.00001665185,0.0009887018,0.0002937322,0.0001364269,0.0001159867,0.00006754824,0.0001783572,0.007170665],"genre_scores_gemma":[0.9909931,0.00001649805,0.007633505,0.00004146932,0.00006190061,1.796171e-7,0.00002546996,0.00002185327,0.001205997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6986765,"threshold_uncertainty_score":0.7010466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005520358900554746,"score_gpt":0.1546054200928005,"score_spread":0.1490850611922458,"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."}}