{"id":"W2338311994","doi":"10.1177/2056305116637103","title":"Movember: Twitter Conversations of a Hairy Social Movement","year":2016,"lang":"en","type":"article","venue":"Social Media + Society","topic":"Social Media and Politics","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Social media; Conversation; Context (archaeology); Microblogging; Sociology; Public relations; Psychology; Political science; World Wide Web; Communication; Computer science; Geography","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":[0.0005355932,0.0001970459,0.0003857921,0.00003928701,0.001074865,0.0000319792,0.0003364266,0.0004562834,0.0008731217],"category_scores_gemma":[0.0006912271,0.0001712994,0.0005792892,0.0003968113,0.00192694,0.0001989035,0.0000788289,0.0001927887,0.00008060965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004950573,"about_ca_system_score_gemma":0.0006754124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005292599,"about_ca_topic_score_gemma":0.001744691,"domain_scores_codex":[0.9972856,0.0002925664,0.0004215901,0.0002748581,0.0009969187,0.0007284507],"domain_scores_gemma":[0.997964,0.001099059,0.0002646137,0.0001284927,0.0003276617,0.0002162178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009776871,0.00009957157,0.003705486,0.00002017962,0.0001260475,0.000001030592,0.8080489,2.161079e-8,0.001893655,0.0896688,0.09138303,0.005043512],"study_design_scores_gemma":[0.002490721,0.00004381525,0.00742683,0.00005192441,0.0001867779,1.388724e-7,0.7269977,0.00000233159,0.002781742,0.09625579,0.1630836,0.0006786847],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.924232,0.0001129774,0.0003749582,0.05102677,0.004236914,0.0005973784,0.0002514444,0.0002706198,0.01889693],"genre_scores_gemma":[0.990896,0.0001718235,0.0002226832,0.002290994,0.005325053,0.000066604,0.00001092536,0.00003117552,0.0009846861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08105122,"threshold_uncertainty_score":0.956007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04598636979586166,"score_gpt":0.3176264596318173,"score_spread":0.2716400898359557,"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."}}