{"id":"W2575821270","doi":"","title":"NEW RESOURCES FOR SMART FOOD RETAIL MAPPING. A GIS AND THE OPEN SOURCE PERSPECTIVE","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Perspective (graphical); Open source; Business; Computer science; Artificial intelligence; Software","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":[],"consensus_categories":[],"category_scores_codex":[0.002165594,0.0001874807,0.00035756,0.0002823643,0.0004776401,0.000626993,0.0007795019,0.00007158898,0.0001121525],"category_scores_gemma":[0.001192419,0.0001204841,0.00009914565,0.0002006529,0.0005304937,0.0005433742,0.001566087,0.0002054352,0.0000188375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002086034,"about_ca_system_score_gemma":0.00007571597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001447074,"about_ca_topic_score_gemma":0.004835288,"domain_scores_codex":[0.9983507,0.000058627,0.0003112078,0.0005765786,0.0001569795,0.0005459035],"domain_scores_gemma":[0.9983225,0.0008501782,0.0001415533,0.0004799352,0.000174065,0.00003170777],"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":[0.0005533844,0.00003304511,0.1273434,0.0000389132,0.0001409599,0.000002285234,0.001043192,9.057514e-7,0.00006746427,0.0178163,0.000511264,0.8524488],"study_design_scores_gemma":[0.006135318,0.00005439562,0.05474929,0.0001382488,0.0000409658,0.000003938479,0.01249089,0.0002900239,0.000009639483,0.006229952,0.9194965,0.0003608132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7925878,0.0007526317,0.00005654696,0.0269251,0.0001883509,0.003033849,0.00001384319,0.0000829246,0.176359],"genre_scores_gemma":[0.9769021,0.0008569396,0.0003533609,0.000234697,0.0003521774,0.0005217427,0.000001772144,0.00007378394,0.02070341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9189852,"threshold_uncertainty_score":0.6046107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06007467353913236,"score_gpt":0.2935585214040477,"score_spread":0.2334838478649153,"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."}}