{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009194113,0.0009896915,0.0003847606,0.0007693315,0.001010865,0.004041341,0.0007868141,0.002135326,0.2122667],"category_scores_gemma":[0.001156405,0.0003306586,0.0003466749,0.001092961,0.0008987183,0.00482519,0.003616336,0.001732875,0.1430996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158896,"about_ca_system_score_gemma":0.002864864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001461717,"about_ca_topic_score_gemma":0.001487186,"domain_scores_codex":[0.9993673,0.0001201146,0.00004648641,0.0001736197,0.0001982324,0.00009429496],"domain_scores_gemma":[0.9992703,0.00007794891,0.00007941645,0.000141386,0.0002043217,0.0002267081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002482157,0.0001077125,0.00173732,0.001080628,0.00002522316,0.00080429,0.0009085514,0.001187604,0.007135958,0.1157757,0.2886622,0.5823265],"study_design_scores_gemma":[0.0000049558,0.00003435151,0.0008996314,0.0001533769,0.000003574233,0.0003822235,0.0002184045,0.0003618863,0.0006305852,0.003232952,0.9940701,0.000007940831],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01446887,0.03523577,0.01829587,0.02609745,0.01282129,0.0002634411,0.00375125,0.002366637,0.8866994],"genre_scores_gemma":[0.04476014,0.01392571,0.008370449,0.001447112,0.0006118128,0.0000929091,0.000941672,0.0002856229,0.9295645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2122667,"threshold_uncertainty_score":0.7101028,"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."}}