{"id":"W3155403823","doi":"","title":"A Study on Background Factors and Literary Factors of Preservice Teachers Affecting the Literary Teaching Efficacy","year":2011,"lang":"en","type":"article","venue":"Early childhood education","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology; Factor (programming language); Pedagogy; Mathematics education; Computer science","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":[0.001457403,0.0001976701,0.0003058678,0.001059139,0.001691164,0.001629008,0.0003208276,0.000352208,0.003926606],"category_scores_gemma":[0.01001295,0.0001949099,0.000192124,0.000919573,0.0007633916,0.0006759517,0.0007726792,0.0008782462,0.0003085951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036568,"about_ca_system_score_gemma":0.002074143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00525941,"about_ca_topic_score_gemma":0.01041032,"domain_scores_codex":[0.9990411,0.0003882816,0.00006975546,0.00009237486,0.0001857956,0.0002225537],"domain_scores_gemma":[0.9861373,0.007731433,0.002260801,0.0003465677,0.00128967,0.002234217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003561093,0.002123149,0.9457737,0.00006957707,0.00002773672,0.0007396679,0.03156404,0.00005218099,0.001553652,0.0006747655,0.0001786823,0.01688672],"study_design_scores_gemma":[0.00001200297,0.0003351609,0.9650818,0.00003543311,0.00002129965,0.0002043986,0.03254408,0.00005168114,0.000657487,0.0001134485,0.0009359929,0.000007221048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987374,0.00007517348,0.00003343957,0.00003091295,0.000002876784,0.000007966884,0.00001145612,8.859153e-7,0.001099996],"genre_scores_gemma":[0.9989678,0.00006858651,0.00005943546,0.00001238186,0.00000348982,0.00000675127,0.00001889231,0.000001398787,0.0008613874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00525941,"threshold_uncertainty_score":0.01313579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03713829861619038,"score_gpt":0.2860379245029598,"score_spread":0.2488996258867694,"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."}}