{"id":"W19949839","doi":"10.1007/s11010-009-0337-5","title":"Malaysia: towards spatially enabled society.","year":2011,"lang":"en","type":"article","venue":"Molecular and Cellular Biochemistry","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Geography; Remote sensing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002226422,0.0001318531,0.0001193665,0.00001270552,0.0002076734,0.00003746942,0.0001787617,0.0001883433,0.0003819231],"category_scores_gemma":[0.00002115937,0.0001270137,0.0001036422,0.00009234244,0.0002181899,0.00003916908,0.00007132084,0.0001092628,0.00001655779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003508561,"about_ca_system_score_gemma":0.0001430301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003092912,"about_ca_topic_score_gemma":0.000007780454,"domain_scores_codex":[0.9990048,0.00003787969,0.0001210735,0.0002584475,0.0002343794,0.0003434537],"domain_scores_gemma":[0.9995686,0.000005521248,0.00004103595,0.0001452447,0.0000487822,0.000190827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002263617,0.0001572529,0.001080403,0.0001320293,0.000178339,0.0001903504,0.01187744,2.663112e-7,0.9648523,0.01188897,0.00240545,0.007214576],"study_design_scores_gemma":[0.0001957427,0.00001396065,0.00007274631,0.00001645985,0.00002418819,0.000001938204,0.002311006,0.000005567608,0.9892473,0.00118838,0.006695002,0.0002277395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7859643,0.0024931,0.0008818511,0.0009057181,0.0001109473,0.0001076287,0.000002392022,0.00008382037,0.2094503],"genre_scores_gemma":[0.99401,0.0001809934,0.001421059,0.0002319417,0.00008153279,0.000008240893,0.00001283998,0.00001276809,0.004040581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2080458,"threshold_uncertainty_score":0.5179469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678225459914374,"score_gpt":0.218344090745967,"score_spread":0.2015618361468233,"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."}}