{"id":"W1830498420","doi":"10.3968/7675","title":"Characteristics of Chinese Farmer Education From 1949 to 1956","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Object (grammar); Standardization; Period (music); China; Process (computing); Mathematics education; Sociology; Political science; Computer science; Aesthetics; Psychology; Law; Artificial intelligence; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007493302,0.00007213163,0.0001078067,0.0002203772,0.0002136189,0.0001401165,0.001037481,0.00003454966,0.00002092435],"category_scores_gemma":[0.0004425879,0.00007077566,0.00002268591,0.00134478,0.000135193,0.0003029663,0.00006337483,0.00007752977,0.00006917377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003736478,"about_ca_system_score_gemma":0.004802678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03803406,"about_ca_topic_score_gemma":0.003172875,"domain_scores_codex":[0.9989659,0.00007111729,0.0001420373,0.0002585372,0.0003045059,0.0002578874],"domain_scores_gemma":[0.9985175,0.00002911392,0.00006533277,0.0002718955,0.0002711768,0.000845049],"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":[0.000002328621,0.000110047,0.2978409,0.000004951499,0.000006003676,0.000002220979,0.07774606,9.077015e-7,0.002423215,0.1558806,0.009601071,0.4563817],"study_design_scores_gemma":[0.00007425495,0.00002152787,0.8644497,0.00000739525,0.0000025194,0.000001065184,0.0006060261,0.0001416719,0.0001794763,0.00486904,0.1294392,0.0002080049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8739765,0.00002497019,0.03514319,0.004984223,0.004559696,0.0001561582,0.00002526133,0.00004658096,0.08108338],"genre_scores_gemma":[0.9674411,3.116894e-7,0.029964,0.001905557,0.0002838985,0.00000653695,0.000003437945,0.000003554583,0.000391549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5666089,"threshold_uncertainty_score":0.9683717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799459796957438,"score_gpt":0.3432352194795273,"score_spread":0.3152406215099529,"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."}}