{"id":"W4308420499","doi":"10.32920/ryerson.14672070.v1","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); Entertainment; Business; Regional science; Advertising; Computer science; Sociology; Data mining; Population; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003990702,0.0002550456,0.0002247854,0.004117887,0.0007870023,0.002132995,0.0005274053,0.0002921258,0.005342904],"category_scores_gemma":[0.002228478,0.0001520433,0.0002231247,0.007323492,0.0007093059,0.000825593,0.001246275,0.0002183486,0.001134462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002662068,"about_ca_system_score_gemma":0.001590695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2226738,"about_ca_topic_score_gemma":0.3899119,"domain_scores_codex":[0.9993167,0.0000876331,0.00004552584,0.0001244546,0.0002484628,0.0001772482],"domain_scores_gemma":[0.9985569,0.0002097522,0.000429586,0.0001396428,0.0005266751,0.0001374408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001712838,0.00005498344,0.9256447,0.0002233817,0.00002009009,0.0007636338,0.01118031,0.001509686,0.003075528,0.003833533,0.00285827,0.05066457],"study_design_scores_gemma":[0.000002024776,0.00004523841,0.9758433,0.00005101924,0.00001066757,0.0003223823,0.01413011,0.002234333,0.0005985679,0.0001964765,0.006549152,0.00001681711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775618,0.0002161866,0.00246939,0.00007837792,0.000009441779,0.0002310837,0.004812193,0.00005113766,0.01457057],"genre_scores_gemma":[0.9886448,0.0001546361,0.003547149,0.00000899649,0.000004884165,0.00008830971,0.003010129,0.00001229076,0.00452888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2226738,"threshold_uncertainty_score":0.4427555,"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."}}