{"id":"W2766847693","doi":"10.1123/jsm.2017-0031","title":"Student-Athletes’ Organization of Activism at the University of Missouri: Resource Mobilization on Twitter","year":2017,"lang":"en","type":"article","venue":"Journal of Sport Management","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Resource mobilization; Athletes; Social media; Mobilization; Public relations; Resource (disambiguation); Social movement; Scope (computer science); Sociology; Social network analysis; Football; Political science; Politics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009384673,0.00005936783,0.0001465536,0.00004651754,0.0005961361,0.00002491069,0.0004569336,0.00004462207,0.0002841468],"category_scores_gemma":[0.00001673227,0.00004754265,0.00009328131,0.000105605,0.0001941383,0.0001323583,0.000104675,0.00007196963,0.000002824266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001589293,"about_ca_system_score_gemma":0.00003786098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001244271,"about_ca_topic_score_gemma":0.00004791197,"domain_scores_codex":[0.9989591,0.00002060951,0.0002111777,0.00008854698,0.0006190502,0.0001015195],"domain_scores_gemma":[0.9985092,0.00001140389,0.000981537,0.0002588733,0.0001957015,0.00004330066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009839432,0.0004687704,0.8309992,0.00006841408,0.0003652655,0.00006746021,0.1221204,0.0009380496,0.0001575148,0.0073821,0.03368887,0.003645532],"study_design_scores_gemma":[0.0004581286,0.00005418022,0.7551042,0.00006200431,0.0001218653,7.547588e-7,0.0923603,0.000004496578,0.0002078613,0.00006045389,0.1515007,0.00006499399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640386,0.00002447386,0.0001357457,0.001073068,0.0001500704,0.000160594,5.56194e-7,0.000004378365,0.03441259],"genre_scores_gemma":[0.9845018,0.0005382237,0.00006304078,0.0000876073,0.00009393442,8.287414e-8,0.000001390475,0.000005406174,0.01470856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1178119,"threshold_uncertainty_score":0.4585057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379238665546388,"score_gpt":0.2795147920060174,"score_spread":0.2557224053505535,"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."}}