{"id":"W4393887399","doi":"10.5281/zenodo.5162250","title":"Is reputation on Stack Overflow always a good indicator for users' expertise? No!","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Concordia University; University of Victoria; University of Manitoba","funders":"","keywords":"Reputation; Stack (abstract data type); Computer science; Programming language; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000841345,0.0003759381,0.0004017182,0.0004973525,0.002049729,0.002487003,0.002941855,0.0003048723,0.002643933],"category_scores_gemma":[0.001064126,0.0003944919,0.0001798475,0.0006834937,0.00008343577,0.0004305512,0.001645586,0.0005008192,0.01310436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004085524,"about_ca_system_score_gemma":0.00003164242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004372157,"about_ca_topic_score_gemma":6.367051e-7,"domain_scores_codex":[0.99616,0.0004923909,0.0005397897,0.001274688,0.000920637,0.0006125523],"domain_scores_gemma":[0.9966268,0.00009743702,0.0004026356,0.001829402,0.0007485868,0.0002951653],"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":[0.00003817162,0.000189227,2.732234e-7,0.0002011545,0.00008082727,0.00002826667,0.001030117,0.00001061988,0.0002056726,0.0005757819,0.9905629,0.007077044],"study_design_scores_gemma":[0.0006516887,0.0005701166,0.00001242364,0.0002276673,0.00001699245,0.00006465488,0.0001011938,0.001186015,0.0004279347,0.00003310493,0.9962847,0.0004234702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001142819,0.0002619131,0.02319776,0.001160191,0.001328482,0.001407516,0.96618,0.001066678,0.005283185],"genre_scores_gemma":[0.0007647872,0.0002574579,0.001414855,0.001082753,0.0007204266,0.000001068416,0.9928833,0.001185053,0.001690284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02670332,"threshold_uncertainty_score":0.9998507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0430868183610195,"score_gpt":0.2731907887991875,"score_spread":0.230103970438168,"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."}}