{"id":"W4253593869","doi":"10.32920/ryerson.14638560","title":"Mobile Maps and More : Extending Location-Based Services with Multi-Criteria Decision Analysis","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiple-criteria decision analysis; Decision support system; Computer science; Decision analysis; Geographic information system; Operations research; Data mining; Engineering; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00222478,0.0008954727,0.0007180254,0.001947829,0.0006052675,0.003768973,0.0009356987,0.001044887,0.009025814],"category_scores_gemma":[0.003736402,0.000407729,0.001093826,0.002705412,0.0007675158,0.004102085,0.002934115,0.001248803,0.001979228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008684853,"about_ca_system_score_gemma":0.0008849229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00346035,"about_ca_topic_score_gemma":0.003233951,"domain_scores_codex":[0.9983665,0.0007840547,0.0001069637,0.000136237,0.0005126742,0.00009345872],"domain_scores_gemma":[0.9983729,0.0009678093,0.00007855074,0.0002789182,0.0001940643,0.0001076588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003118386,0.0003472735,0.002561735,0.0007383533,0.0002065143,0.001157953,0.003089559,0.05562604,0.005887708,0.2807848,0.02334405,0.6259441],"study_design_scores_gemma":[0.00009790662,0.0001492182,0.002166025,0.0003723526,0.00007974957,0.0005647392,0.001500521,0.2546781,0.00410471,0.45012,0.2860499,0.0001166792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02891162,0.002820771,0.8928164,0.004138962,0.0003024806,0.0003610492,0.001054021,0.005162968,0.06443181],"genre_scores_gemma":[0.2920727,0.002599157,0.6924238,0.0006775341,0.0002331402,0.0002983272,0.0008549814,0.0004222408,0.01041802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009025814,"threshold_uncertainty_score":0.03019434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898858730211371,"score_gpt":0.3330145021878559,"score_spread":0.3140259148857422,"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."}}