{"id":"W2308254792","doi":"","title":"Research-Informed Principles for (Re)designing Teaching and Learning Spaces","year":2016,"lang":"en","type":"article","venue":"Journal of learning spaces","topic":"Educational Environments and Student Outcomes","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Space (punctuation); Computer science; Conceptual framework; Pedagogy; Mathematics education; Engineering ethics; Sociology; Knowledge management; Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01004391,0.0001022506,0.0002167437,0.0002377147,0.00221136,0.0003044427,0.0002395852,0.00007322713,0.0000839263],"category_scores_gemma":[0.01062358,0.00006633535,0.00008517157,0.00008758151,0.0003069153,0.0005980958,0.00006695662,0.0007600518,0.000006909976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001791327,"about_ca_system_score_gemma":0.0002578571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000115032,"about_ca_topic_score_gemma":0.00009539696,"domain_scores_codex":[0.9973847,0.0009158705,0.0003198769,0.0001419085,0.0008446866,0.0003929713],"domain_scores_gemma":[0.9939721,0.005192913,0.0004596371,0.00005432083,0.000154151,0.0001669293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001279065,0.0001055963,0.7646463,0.00006107427,0.0001897173,0.000008612361,0.1428692,0.001067665,0.002941961,0.03370755,0.002603377,0.05167101],"study_design_scores_gemma":[0.0005023109,0.0003444575,0.02823385,0.0002814148,0.00002045653,0.000004310228,0.1925662,0.00001840636,0.00005881692,0.0004930978,0.7773451,0.0001315979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643374,0.0005624923,0.001231991,0.02311967,0.000263251,0.0001631863,4.489941e-7,0.00002245473,0.01029909],"genre_scores_gemma":[0.9557103,0.0009714112,0.007123854,0.00002976458,0.000617338,0.00000566357,2.908452e-7,0.00001505616,0.03552634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7747417,"threshold_uncertainty_score":0.9990876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.096263573541843,"score_gpt":0.428165408041335,"score_spread":0.331901834499492,"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."}}