{"id":"W4298124312","doi":"10.32920/ryerson.14672070","title":"Independent niche retail: board game cafe location and classification","year":2022,"lang":"en","type":"preprint","venue":"","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":"Census tract; Census; Marketing; Geography; Table (database); Cluster (spacecraft); Business; Regional science; Computer science; Population; Sociology; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004633909,0.0003349854,0.000351629,0.0003456707,0.0002243274,0.0005015698,0.00036275,0.0001773348,0.001524018],"category_scores_gemma":[0.0001045876,0.000340041,0.00008897188,0.0002961403,0.00008238343,0.0003295236,0.002949642,0.0006592293,0.0002113203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001593297,"about_ca_system_score_gemma":0.00005958454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156383,"about_ca_topic_score_gemma":0.001621168,"domain_scores_codex":[0.9980215,0.00002473854,0.0004344563,0.0007583711,0.000513055,0.0002478504],"domain_scores_gemma":[0.9985913,0.00003114869,0.0004505588,0.0006430611,0.000270287,0.00001366429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002768555,0.00009233722,0.9210151,0.0006655612,0.0001060321,0.000008544135,0.0001108952,0.00002312708,0.0001567297,0.01027831,0.002544226,0.06497142],"study_design_scores_gemma":[0.000296001,0.000004378546,0.8922829,0.0000482838,0.0003823646,0.000001238322,0.0008003648,0.002777884,0.000003702584,0.0007439097,0.1021618,0.0004972352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111315,0.002299544,0.001456252,0.007440229,0.002165185,0.002015546,0.00001222608,0.0008537571,0.07262576],"genre_scores_gemma":[0.9935602,0.0001893036,0.0001107045,0.0002882704,0.0001887122,0.0004107324,0.0002043245,0.00005136389,0.004996391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09961753,"threshold_uncertainty_score":0.9999052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07176378239911164,"score_gpt":0.2786425120752061,"score_spread":0.2068787296760945,"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."}}