{"id":"W2883139293","doi":"10.3138/cart.53.2.2017-0015","title":"Evaluating Online and Traditional Learning Environments Using Cartographic Generalization Techniques","year":2018,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generalization; Class (philosophy); Conversation; Subject matter; Relation (database); Mathematics education; Computer science; Test (biology); Perception; Artificial intelligence; Psychology; Pedagogy; Mathematics; Curriculum; Data mining; Communication","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":[0.005024598,0.0006577527,0.0005680101,0.001490711,0.000384939,0.001682566,0.0009747465,0.0006134657,0.003553594],"category_scores_gemma":[0.02403285,0.0001569197,0.000594425,0.001313103,0.0004766751,0.002475674,0.001436515,0.0006474835,0.0007644763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005982883,"about_ca_system_score_gemma":0.000702405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007340173,"about_ca_topic_score_gemma":0.001166906,"domain_scores_codex":[0.9953262,0.002128123,0.0004285462,0.0004925306,0.001330439,0.0002942084],"domain_scores_gemma":[0.9705309,0.02037652,0.003235617,0.001586875,0.002976043,0.00129411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005270234,0.02843216,0.1461717,0.001981646,0.0003299096,0.0002941752,0.009830719,0.01277834,0.03303584,0.00129082,0.001755337,0.7588291],"study_design_scores_gemma":[0.002120617,0.1698416,0.6074975,0.001085007,0.0009759014,0.0007909326,0.02909799,0.0442058,0.117915,0.005605598,0.0204575,0.0004065397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900538,0.0001121512,0.00529668,0.00004737336,0.00001802189,0.0004841053,0.0001061072,0.00008856402,0.003793212],"genre_scores_gemma":[0.9712343,0.0003639234,0.0245146,0.00006140534,0.00003751833,0.000832002,0.0002380642,0.00002928844,0.002688893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005024598,"threshold_uncertainty_score":0.02657294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05788784425647809,"score_gpt":0.3928618212811463,"score_spread":0.3349739770246682,"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."}}