{"id":"W7033730636","doi":"","title":"Replication of Troy, Ford, McRae, Zarolia, &amp;amp; Mauss (2017) at McGill University","year":2021,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Class (philosophy); Social class; The Internet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04175902,0.001833423,0.001435771,0.003128485,0.007092394,0.004781896,0.005108172,0.00299548,0.07313798],"category_scores_gemma":[0.2406055,0.001211403,0.002521405,0.002533338,0.003369877,0.004498519,0.006101867,0.006036174,0.02400678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005464289,"about_ca_system_score_gemma":0.01161407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03732322,"about_ca_topic_score_gemma":0.04813219,"domain_scores_codex":[0.9731945,0.00821595,0.003339083,0.005822326,0.008546051,0.0008820515],"domain_scores_gemma":[0.7043113,0.03242156,0.007195908,0.1539225,0.09709344,0.005055374],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.006777369,0.008982655,0.04510811,0.00363979,0.001287865,0.0008380271,0.05288304,0.0008728837,0.02281802,0.06619565,0.4592808,0.3313158],"study_design_scores_gemma":[0.003218742,0.002956711,0.2346551,0.001496715,0.001452548,0.0008775176,0.01336661,0.001482764,0.01896218,0.03833944,0.6825644,0.0006271536],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.236341,0.004303745,0.07282646,0.03861466,0.03579071,0.06128407,0.06938913,0.00310055,0.4783497],"genre_scores_gemma":[0.5865325,0.001292287,0.07636683,0.02375345,0.002753217,0.08417661,0.02938065,0.002907911,0.1928364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.958241,"threshold_uncertainty_score":0.2446709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866452972141989,"score_gpt":0.2607810323257597,"score_spread":0.2321165026043398,"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."}}