{"id":"W1604115087","doi":"10.19173/irrodl.v3i2.94","title":"Simulating the Computer Science Closed Laboratory in an Asynchronous Learning Network","year":2002,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asynchronous communication; Computer science; Asynchronous learning; Distance education; Multimedia; Science education; Educational technology; Exploratory research; Experiential learning; Discovery learning; Path (computing); Mathematics education; Synchronous learning; Human–computer interaction; Teaching method; Cooperative learning; Psychology; Computer network","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":[0.0007843127,0.0003034197,0.0002976073,0.0002986945,0.0004420499,0.001029789,0.001119461,0.0006993621,0.008038859],"category_scores_gemma":[0.003346035,0.0002216627,0.00022732,0.0003634693,0.0006919457,0.001544755,0.001430102,0.0007746008,0.0006614506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004696681,"about_ca_system_score_gemma":0.0007713748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001283323,"about_ca_topic_score_gemma":0.0009808182,"domain_scores_codex":[0.9995946,0.0001955023,0.00001829141,0.00005465439,0.00007831046,0.00005853542],"domain_scores_gemma":[0.9978971,0.001375436,0.0001261538,0.0002343273,0.0001337516,0.0002332293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001615997,0.001275793,0.004427051,0.0001983349,0.00002856827,0.0004216204,0.001228617,0.8911411,0.02541475,0.0443206,0.001650422,0.02827711],"study_design_scores_gemma":[0.000426729,0.0006864794,0.0009724137,0.000022064,0.00002083076,0.00005019633,0.0001470969,0.9733014,0.00737092,0.01268689,0.004287108,0.00002791745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6338244,0.00006850471,0.3323458,0.0002635976,0.0001128245,0.0005614338,0.0003216266,0.001380203,0.03112162],"genre_scores_gemma":[0.9527451,0.0000797355,0.04015674,0.00004196339,0.00001517722,0.0006175339,0.0001333341,0.00006600427,0.006144331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008038859,"threshold_uncertainty_score":0.0268926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04406686103530309,"score_gpt":0.3730334146141611,"score_spread":0.328966553578858,"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."}}