{"id":"W4405627124","doi":"10.1177/10591478241310217","title":"When Platforms Go Public, Standards Drop","year":2024,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Drop (telecommunication); Drop out; Business; Computer science; Industrial organization; Telecommunications; Economics","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":[0.00303441,0.000373811,0.0004710518,0.002298299,0.001904748,0.007980286,0.0007329541,0.001927077,0.02190178],"category_scores_gemma":[0.0335344,0.0004916982,0.0006047572,0.001647727,0.001454207,0.009666048,0.005146042,0.003092305,0.007879782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150974,"about_ca_system_score_gemma":0.001280767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002790393,"about_ca_topic_score_gemma":0.002320665,"domain_scores_codex":[0.9941528,0.0006391376,0.0004192418,0.0008306468,0.002789254,0.001168797],"domain_scores_gemma":[0.9699644,0.007725147,0.008396807,0.006283429,0.004115978,0.003514243],"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":[0.001983133,0.001679077,0.2095619,0.0005599424,0.0001695056,0.002821092,0.0199955,0.001094509,0.02756919,0.1113368,0.09316935,0.5300599],"study_design_scores_gemma":[0.000293993,0.001502736,0.5750719,0.0003645619,0.0001093071,0.001907842,0.02125615,0.004396766,0.01307751,0.04100541,0.3406934,0.000320387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.854171,0.0004572246,0.007381511,0.004792461,0.0005068762,0.0006364523,0.002123286,0.001709279,0.1282219],"genre_scores_gemma":[0.9629931,0.0002124913,0.002616707,0.001403356,0.0002713364,0.0003151029,0.001477933,0.0003036517,0.03040626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02190178,"threshold_uncertainty_score":0.07326877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959557051103246,"score_gpt":0.2792430560965841,"score_spread":0.2596474855855516,"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."}}