{"id":"W2762304308","doi":"10.1108/mip-04-2017-0065","title":"Leveraging sport and entertainment facilities in small- to mid-sized cities","year":2017,"lang":"en","type":"article","venue":"Marketing Intelligence & Planning","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Alberta","funders":"","keywords":"Public relations; Entertainment; Tourism; Originality; Context (archaeology); Recreation; Business; Marketing; Newspaper; Sociology; Political science; Advertising; Qualitative research","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":[0.001435667,0.0002923292,0.000231546,0.001138095,0.005299893,0.005892233,0.001801993,0.0005850953,0.00783922],"category_scores_gemma":[0.002881072,0.0002714112,0.0002311547,0.001619983,0.004581732,0.002543459,0.006942046,0.0009592117,0.000387367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007135388,"about_ca_system_score_gemma":0.008220222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09006389,"about_ca_topic_score_gemma":0.3023755,"domain_scores_codex":[0.9983285,0.0006636036,0.00004104992,0.0001664541,0.0001713179,0.000629033],"domain_scores_gemma":[0.9970896,0.0007522999,0.0003869924,0.0001771334,0.0002752664,0.001318778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000403295,0.0008469129,0.2214395,0.001442175,0.0001640786,0.008793567,0.5369194,0.004244599,0.007054088,0.04141297,0.012714,0.1645653],"study_design_scores_gemma":[0.00001688927,0.0002215549,0.09945925,0.0004547049,0.00003482183,0.0004401966,0.8197228,0.0008729327,0.0006093774,0.002581587,0.07553139,0.0000545533],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699832,0.0003105269,0.001224369,0.001150173,0.00002219702,0.0001122482,0.00008964719,0.00003502976,0.02707254],"genre_scores_gemma":[0.9974917,0.0001782685,0.0005597462,0.00007736643,0.000003806192,0.00003321949,0.00003771869,0.000006797693,0.00161135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09006389,"threshold_uncertainty_score":0.1790794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07357500649982274,"score_gpt":0.3411008523635792,"score_spread":0.2675258458637564,"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."}}