{"id":"W4408114183","doi":"10.1080/14413523.2025.2468037","title":"Exploring the determinants of women football players’ Instagram popularity","year":2025,"lang":"en","type":"article","venue":"Sport Management Review","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Popularity; Football; Football players; Advertising; Sociology of sport; Psychology; Sociology; Business; Gender studies; Political science; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00200249,0.0003132155,0.0004202253,0.001324599,0.0002870902,0.001107494,0.0003659868,0.0004938641,0.002739504],"category_scores_gemma":[0.004781975,0.0001934727,0.0005997076,0.001847871,0.0003412737,0.0008261182,0.0005063045,0.0005174236,0.0003399084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006366097,"about_ca_system_score_gemma":0.003032631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01587861,"about_ca_topic_score_gemma":0.0381097,"domain_scores_codex":[0.9991543,0.0003644261,0.00006579564,0.0001211573,0.000175751,0.0001185405],"domain_scores_gemma":[0.9974003,0.001589573,0.0005187431,0.000033177,0.0003682437,0.00008996471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003451775,0.0003426249,0.2349375,0.0274095,0.001602496,0.0005255233,0.005356671,0.0006181321,0.001283435,0.009897294,0.007745191,0.7099364],"study_design_scores_gemma":[0.00004922117,0.0006846596,0.8454608,0.01682868,0.002690331,0.000712825,0.01307542,0.0009400939,0.0014468,0.002030718,0.1160161,0.00006440506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2989086,0.6791316,0.0008442499,0.004321483,0.0002604512,0.00009721793,0.0004166724,0.00001215891,0.01600759],"genre_scores_gemma":[0.5690358,0.4270736,0.0006667033,0.0004502325,0.0001875124,0.00007251278,0.0002511089,0.000007695972,0.0022549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01587861,"threshold_uncertainty_score":0.0315724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09439625309439766,"score_gpt":0.3450298120137205,"score_spread":0.2506335589193228,"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."}}