{"id":"W2944291382","doi":"10.15353/cjo.78.471","title":"Doing Site Selection Even if You Don’t Want to Move and Attracting Customers to Your New Location","year":2016,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Site selection; Business; Marketing; Advertising; Computer science; Political science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004976878,0.0005003343,0.001015963,0.01806796,0.0006612187,0.0008326497,0.001628297,0.000477017,0.001002485],"category_scores_gemma":[0.005074737,0.0003937741,0.0003526917,0.008428379,0.0002118697,0.001834142,0.00005990113,0.001170171,0.000201713],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002245478,"about_ca_system_score_gemma":0.006503214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005568516,"about_ca_topic_score_gemma":0.007088864,"domain_scores_codex":[0.9939029,0.0002732623,0.002312731,0.0005900295,0.001575359,0.00134567],"domain_scores_gemma":[0.9853666,0.0005500312,0.001865477,0.0005087933,0.003114575,0.008594453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006584889,0.00001445874,0.9224242,0.000006973722,0.0001019023,0.0003326304,0.001187901,0.001002884,0.001256067,0.000008971435,0.01311466,0.06048349],"study_design_scores_gemma":[0.001239356,0.0003948196,0.9488367,0.0004492406,0.0001099383,0.003779076,0.003146533,0.00004824379,0.0007799903,0.00002091394,0.04065277,0.0005424449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552168,0.0007461592,0.02340881,0.01791558,0.002151783,0.0002535947,0.00007860045,0.00001542952,0.0002132065],"genre_scores_gemma":[0.9860979,0.000037782,0.01069657,0.001032339,0.0006619387,0.000001723392,0.000001085359,0.00006869994,0.001401926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05994105,"threshold_uncertainty_score":0.9999107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04394292942801051,"score_gpt":0.3716150055730756,"score_spread":0.3276720761450651,"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."}}