{"id":"W3080187847","doi":"10.1177/2056305120943273","title":"Studying Platforms and Cultural Production: Methods, Institutions, and Practices","year":2020,"lang":"en","type":"article","venue":"Social Media + Society","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Temporalities; Software walkthrough; Participant observation; Production (economics); Sociology; Cultural analysis; Data collection; Data science; Knowledge management; Computer science; Social science; Political science; Software","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0141812,0.000842658,0.0009705362,0.01678069,0.003135979,0.01041478,0.001400098,0.001704651,0.01009643],"category_scores_gemma":[0.03190671,0.0005700187,0.0008088231,0.01957176,0.005301988,0.008535416,0.004734176,0.002253919,0.003704059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002191421,"about_ca_system_score_gemma":0.00439105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349615,"about_ca_topic_score_gemma":0.004623571,"domain_scores_codex":[0.9881284,0.006731169,0.001181145,0.0007850871,0.002881648,0.0002927101],"domain_scores_gemma":[0.9530621,0.03725997,0.002170829,0.002791611,0.004026404,0.0006891538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001099162,0.0002385606,0.005932712,0.01282442,0.0001081411,0.0006137646,0.08908163,0.0002426249,0.00517339,0.1268565,0.1653145,0.5935039],"study_design_scores_gemma":[0.00001875487,0.0001044611,0.005169992,0.008273678,0.00005064174,0.000602272,0.04466932,0.0001729403,0.001824166,0.02869474,0.9103413,0.00007763707],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05729539,0.1864228,0.3933466,0.0633758,0.02676794,0.00919165,0.009442843,0.001543795,0.2526132],"genre_scores_gemma":[0.1345759,0.2511056,0.4724616,0.01176524,0.01301431,0.0307365,0.006906243,0.003066603,0.07636789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.996864,"threshold_uncertainty_score":0.07499826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3206782163433449,"score_gpt":0.43810570697315,"score_spread":0.1174274906298051,"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."}}