{"id":"W4385221912","doi":"10.5465/amproc.2023.11363symposium","title":"Advancing Leadership and Team Research Through Second Uses of Meta-Analytic Data","year":2023,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Psychology; Knowledge management; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4819072,0.00397657,0.0136213,0.0402088,0.002901048,0.0255016,0.00517816,0.005915548,0.004987103],"category_scores_gemma":[0.6791154,0.004939516,0.03656092,0.03135141,0.004615599,0.01477215,0.01658159,0.01231413,0.000884431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008955954,"about_ca_system_score_gemma":0.02109698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003213167,"about_ca_topic_score_gemma":0.006424799,"domain_scores_codex":[0.4001117,0.5051579,0.05389537,0.01079647,0.0286757,0.001362868],"domain_scores_gemma":[0.1332277,0.7697771,0.02125525,0.04691144,0.02710675,0.001721823],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001226985,0.0002478312,0.01244281,0.2009971,0.2492804,0.0004226894,0.007251031,0.003023563,0.001530014,0.05668645,0.04923812,0.417653],"study_design_scores_gemma":[0.002713167,0.001742969,0.01234916,0.2350229,0.2086544,0.0009138125,0.004320884,0.01439821,0.00317548,0.3077384,0.2077254,0.001245173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.005274411,0.5491927,0.3498732,0.06014824,0.01632345,0.008283522,0.003193081,0.002108442,0.005603038],"genre_scores_gemma":[0.07691676,0.2061671,0.6541492,0.02024304,0.005948092,0.03198012,0.002136945,0.001167771,0.001290804],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5180928,"threshold_uncertainty_score":0.6389006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.950300166481259,"score_gpt":0.6151189653418156,"score_spread":0.3351812011394434,"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."}}