{"id":"W1774183706","doi":"10.1023/a:1011485205161","title":"Quantitative Measurements of the Influence of Participant Roles during Peer Review Meetings","year":2001,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Division of Materials Research","keywords":"Artifact (error); Computer science; Protocol (science); Interpretation (philosophy); Content analysis; Focus (optics); Supervisor; Task (project management); Data science; Quality (philosophy); Knowledge management; Artificial intelligence; Engineering; Epistemology; Management","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01243695,0.0005030377,0.0005755043,0.001406134,0.001584541,0.001540339,0.0009596075,0.001053347,0.003239084],"category_scores_gemma":[0.1293448,0.0003546987,0.0002939633,0.0006988568,0.0009849289,0.000689535,0.00131855,0.001297064,0.0007954418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004902888,"about_ca_system_score_gemma":0.001050163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005155644,"about_ca_topic_score_gemma":0.0009398893,"domain_scores_codex":[0.975597,0.01392622,0.0009485537,0.001926087,0.006372924,0.001229326],"domain_scores_gemma":[0.6507996,0.2863135,0.02134401,0.01117244,0.01909343,0.01127692],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.009258581,0.005599111,0.2199541,0.001665547,0.0004744588,0.001228793,0.06729717,0.001103227,0.4704177,0.002411371,0.003821943,0.2167679],"study_design_scores_gemma":[0.0004487312,0.01582763,0.8100559,0.0002029903,0.0003814382,0.00149065,0.02072809,0.003929705,0.1295289,0.002184094,0.01498479,0.0002370765],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899436,0.0003537576,0.003473002,0.0001354572,0.00007007443,0.0002168261,0.0001131264,0.00006637095,0.005627839],"genre_scores_gemma":[0.9954621,0.0001024982,0.002126557,0.00004439593,0.00007672507,0.0002524625,0.0001239884,0.00003137628,0.001779836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9875631,"threshold_uncertainty_score":0.06577373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1633991765249903,"score_gpt":0.4226693604507548,"score_spread":0.2592701839257645,"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."}}