{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002578753,0.0001306992,0.0001099958,0.00229983,0.00135437,0.0005124188,0.000267085,0.0001847638,0.005009597],"category_scores_gemma":[0.001083217,0.00008932881,0.000115173,0.003105623,0.0005149973,0.0004010658,0.0005179175,0.0002665544,0.0004333362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002325739,"about_ca_system_score_gemma":0.00223843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1171285,"about_ca_topic_score_gemma":0.163695,"domain_scores_codex":[0.9997639,0.00001442632,0.00002028654,0.00002802852,0.00004951228,0.0001238639],"domain_scores_gemma":[0.9993322,0.00005523006,0.0001939788,0.00001717367,0.0001719179,0.0002294608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000105815,0.00006727064,0.9332857,0.0000821806,0.00001292411,0.001092999,0.02803676,0.0001944589,0.001173979,0.002191894,0.002362923,0.03139301],"study_design_scores_gemma":[9.377517e-7,0.0000171766,0.9903143,0.00001089721,0.000002494471,0.00008565453,0.002214256,0.00003144138,0.0000738677,0.0000529251,0.007192146,0.000003868453],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888677,0.0002214036,0.00003247844,0.00021039,0.000008318681,0.00001389571,0.0007576504,0.000005959467,0.009882217],"genre_scores_gemma":[0.995111,0.0002286053,0.00003428153,0.00002967993,0.00001160835,0.00001031866,0.0005063899,0.000002171908,0.004065816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1171285,"threshold_uncertainty_score":0.2328935,"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."}}