{"id":"W2892365769","doi":"10.17605/osf.io/q6wnd","title":"PSY2002: Advanced Statistics","year":2018,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics; Computer science; Mathematics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002947184,0.0003195892,0.0003960581,0.0002166616,0.0002808573,0.0003620833,0.004234354,0.0001338439,0.2397279],"category_scores_gemma":[0.002408257,0.0003449611,0.0001270828,0.0006838723,0.0002924676,0.001015205,0.003492142,0.0003317128,0.8972727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689853,"about_ca_system_score_gemma":0.0001908632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009828009,"about_ca_topic_score_gemma":0.0001114083,"domain_scores_codex":[0.9950739,0.0004066019,0.000621999,0.002603669,0.0006637858,0.000630029],"domain_scores_gemma":[0.9906046,0.0003834449,0.0003109081,0.00797133,0.0004035982,0.0003261049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009493571,0.000663362,0.0124568,0.00007362576,0.0003925586,0.0001175027,0.002623753,0.0007054704,0.009422185,0.131993,0.3322873,0.5091695],"study_design_scores_gemma":[0.001442267,0.000008199463,0.02787512,0.00008994668,0.0001215709,0.00009775916,0.00008562609,0.07004895,0.03323047,0.05775359,0.8078933,0.001353219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004702704,7.724747e-7,0.6405152,0.000299276,0.0004511055,0.0002977072,0.00003159089,0.0002738956,0.3534278],"genre_scores_gemma":[0.2218906,0.00006873385,0.4872794,0.00108606,0.0002738008,0.0001521354,0.00005483694,0.00006601245,0.2891284],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6575448,"threshold_uncertainty_score":0.9999002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296852430722086,"score_gpt":0.2712014388140085,"score_spread":0.2582329145067877,"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."}}