{"id":"W2068838461","doi":"10.5539/hes.v3n6p65","title":"The Analysis on Systematic Development of College Microlecture","year":2013,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Education and Work Dynamics","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Construct (python library); Mathematics education; Set (abstract data type); Higher education; Order (exchange); Computer science; Teaching method; Sociology; Management science; Psychology; Engineering; Political 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":[0.009911293,0.0002397015,0.0003138964,0.009688436,0.001089668,0.001370524,0.0005120875,0.0002492542,0.001354057],"category_scores_gemma":[0.03840471,0.0002430474,0.0005272841,0.007445697,0.001244728,0.001547051,0.002280263,0.0002825465,0.0001318554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003454452,"about_ca_system_score_gemma":0.01207885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008911746,"about_ca_topic_score_gemma":0.01800159,"domain_scores_codex":[0.9851403,0.006632886,0.001730011,0.001646444,0.004280994,0.0005694622],"domain_scores_gemma":[0.934424,0.03397411,0.008756381,0.005778,0.01586235,0.001205125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007122706,0.00007404584,0.6165741,0.002053685,0.0001574342,0.0004053334,0.03304126,0.0004928471,0.002834699,0.009106297,0.001440162,0.3337488],"study_design_scores_gemma":[0.00002503917,0.0003319675,0.8996527,0.001896634,0.0001837727,0.0004747674,0.0534598,0.002666784,0.004627412,0.003922173,0.03271706,0.00004195535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634855,0.003096326,0.0184997,0.0006593194,0.0000268786,0.001073731,0.001078899,0.00007115164,0.0120084],"genre_scores_gemma":[0.9801787,0.0007562723,0.01602335,0.00008807286,0.000009006378,0.0005303777,0.0008472878,0.00001239872,0.001554602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009911293,"threshold_uncertainty_score":0.05241656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03151354454522814,"score_gpt":0.3700361784271121,"score_spread":0.338522633881884,"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."}}