{"id":"W6906492626","doi":"10.17605/osf.io/mcf4k","title":"Creating Status Loss","year":2021,"lang":"en","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prestige; China; Social status; Focus (optics); State (computer science); Third world","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001818976,0.0004641306,0.0006607853,0.0005042247,0.0005571216,0.003355365,0.007044398,0.000515414,0.07625072],"category_scores_gemma":[0.004446117,0.0004391372,0.00008660943,0.005223329,0.001923515,0.0004231292,0.004071876,0.001034219,0.01173206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004357428,"about_ca_system_score_gemma":0.00265028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002951944,"about_ca_topic_score_gemma":0.0003947684,"domain_scores_codex":[0.994563,0.0001286173,0.0003292391,0.001759423,0.001741965,0.001477793],"domain_scores_gemma":[0.9957545,0.0002108659,0.0005300355,0.00274742,0.0001857406,0.0005714659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001566562,0.0001872038,0.007803808,0.00007754327,0.00006408581,0.0003024851,0.001149844,0.00002346157,0.0008981235,0.05050659,0.9271222,0.01184897],"study_design_scores_gemma":[0.0001362866,0.00002254339,0.0007117192,0.003371609,0.00002031239,0.00001394156,0.000375288,0.0000330561,0.0002018119,0.002277406,0.9921591,0.0006769679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001292936,0.001197767,0.0005784284,0.00007653514,0.001331673,0.0008126363,0.0001690546,0.0002289814,0.9954756],"genre_scores_gemma":[0.001426505,0.00008159731,0.1772449,0.000398952,0.000604335,0.00007520865,0.00004469611,0.001139674,0.8189841],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1766665,"threshold_uncertainty_score":0.999806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03546980580323481,"score_gpt":0.3801720109350405,"score_spread":0.3447022051318057,"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."}}